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October2021 | Volume 1 | Issue 5

Telematics Wire Technology Driven | Futuristic Vehicle

CAV Summit 2021 Special October 2021 | Telematics Wire | 1


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05 CAV SUMMIT 2021 Conference Report

Volume : 01 Issue : 5

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Connected Autonomous Vehicles: The Journey and the Road Ahead Praveen Dhusia, Teltonika India

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Autonomous & Connected Mobility: The Intelligent Choice Anuj Kapuria Hi-Tech Robotic Systemz Ltd

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Product Launch Klas: RAVEN SmartWitness: AP1: 2-IN-1 ADAS CAMERA

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Why tracking Engine Control Module (ECM) with GPS-inspired technology can be a total game-changer? Tushar Bhagat, Uffizio

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The Mobility of Tomorrow Ashhar Ahmed Shaikh SkillShark EduTech

Data and Information Management - Challenges and Opportunities for Automotive Manufacturers

Dani Chandrasekar Mahindra & Mahindra Ltd

Designer P K Gupta

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The importance of Automotive Ethernet Switch & Network testing for Connected Autonomous Vehicles Thomas Schulze, Xena Networks

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Getting closer to your customers in a new connected car world Evgeny Klochikhin, Sheeva.AI

56 NEWS 32

Car Launch Jaguar F-Pace SVR Mahindra XUV700

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Today Vehicles are coming with Eyes and Mouth Suresh Balu Kamate Vector Informatik India Pvt Ltd

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GM- Corporate Communication Yashi Mittal M: +91 98103 40678 mgr_corpcomm@telematicswire.net

Web Developer Neha Nagar

Avneesh Prakash Tata Communications

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Director Lt. Col. M C Verma (Retd.)

Editorial Team Member Richa Tyagi

Timo Korpela, Vaisala

Indian Automakers and their Frontend Challenges of Connected Mobility

Dy. CEO & Director Anuj Sinha M: +91 87440 88838 anuj.sinha@telematicswire.net

DGM- Corporate Sales Poonam Mahajan M: +91 9810341272 mgr_corpsales@telematicswire.net

Road Weather Data: Increasing the Safety of Today’s Drivers and Tomorrow’s Automated Vehicles

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CEO & Editor Maneesh Prasad maneesh.prasad@telematicswire.net

Publication Address Telematics Wire Pvt. Ltd. D-98 2nd Floor, Noida Sec-63 Uttar Pradesh-201301 Email: info@telematicswire.net Printed and Published by Maneesh Prasad on behalf of Telematics Wire Pvt. Ltd. Telematics Wire Pvt. Ltd. D-98, 2nd Floor, Noida Sec-63 Uttar Pradesh-201301 Email: info@telematicswire.net Disclaimer Telematics Wire Pvt. Ltd. does not necessarily subscribe to the views expressed in thepublication. All views expressed in this issue are those of the contributors. Please Note: No material may be reproduced in whole or part without permission of Telematics Wire Pvt. Ltd. Copyright 2021, Telematics Wire Pvt. Ltd. All rights reserved.


Conference Report

CAV SUMMIT 2021 Connected & Autonomous Vehicle Summit Virtual Conference & Exhibition 23rd September 2021

Focus of #CAVSummit Connected, Autonomous, Shared & Electric

Autonomous Vehicle

Automotive Connectivity

Electric Vehicle

Data Management

Intelligent Cloud

Infotainment

CV Platform

Infrastructure

ADAS

Fleet Telematics

M2M & IoT Solutions

Clean & Sustainable Mobility

Connected Insurance

Next Gen Technologies

Automotive Cybersecurity

Maps & Navigation

Simulation & Testing

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Thought Leaders at CAV Summit

Guest of Honor: RAJENDER KUMAR KATARIA, I.A.S Principal Secretary, Transport Department Government of Karnataka Everyone is talking about ‘Go Green’. The government of India has also come out with the Go Green Initiative, apart from many other initiatives. Recently, 5 to 6 major innovations have come out with the help of the private entrepreneurs and also with the enabling government policies.

CV RAMAN CTO Engineering Maruti Suzuki HMI is becoming more and more important. From an Indian context, something that is very important are safety while driving, and customer expectation for connectivity on the go. Customers look for digital experience, convenience in parking, comfort & convenience in car/vehicle.

DIEGO GRAFFI Chairman & MD, Piaggio Vehicles

PARTHA DATTA Head - Engineering, R&D, Stellantis India & Asia Pacific

Electric mobility and other alternate fuel technology like fuel cells have gone from a dream to reality in the last 4 years. Revolutionizing technology has contributed to exponential growth of electric vehicles in India and globally. India is one of the most fertile grounds for electric mobility in terms of 2 wheelers, 3 wheelers & passenger vehicles.

We have to recognize the growing chorus of discontent amongst consumers about their personal data and their right to privacy. A data governance model is obviously the need of the hour, one which respects privacy, preserves personal freedoms and provides businesses a platform to offer services for comfort and convenience to their consumers.

LALIT ARORA India Head Client Relationships - Connected Automotive Solutions, Tata Communications When the vehicle is interacting with the infrastructure, the hacking threats bringing its key aspect of cyber security plays a large part. Looking at these two areas, the vehicle needs continuous software upgrades, to bring in new features and, to continuously bring in new upgrades to solve the ever-evolving cyber security threats. When we look at new-gen technologies like 5G bringing in low latencies and a broader infrastructure, it will definitely impact and solve certain problems in these areas.

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Lead Talk:

B V PRABHA Lead Architect, Elektrobit India Previously, only Bluetooth and OBD dongle were only two means through which a person could get access into the vehicle network. But now there are many other functionalities that are added. OEMs are also trying to give more and more features to the end customers.

EVGENY KLOCHIKHIN Founder & CEO, Sheeva.ai Location accuracy is so important because it gives us an exact mechanism to know the context of the driver in a given point of service. So utilizing that information, we can utilize cloud-based technologies, simple APIs to enable all these triggers to automated payments’ transactions.

VISHAL BAJPAI Co-Founder & CEO, SecureThings

SURENDER KANNAN Vice President of Sales APAC & Japan, Cavli Wireless

Connectivity is important for both manufacturers and suppliers. Not only to provide features to be competitive than their competitors but also from the vehicle safety point of view. Operational efficiency, being agile, faster response frame in adapting new dynamics like vehicle lease model, online buying, also to provide on-demand feature enablement. But at the same time, it is more important from the regulatory point of view.

The Automobile industry is evolving amid the convergence of technologies like wireless communication, location mapping, and in-vehicle electronics, and Cavli, with its holistic IoT connectivity solution, aims to supercharge the connected car revolution. Automotive OEMs will soon need to ensure connectivity as a default/basic feature on all models & variants compared to how the ‘connected car’ tag is reserved for just the top end models as of now.

LAKSH PARTHASARATHY Global Head, CASE Industry Segment Tata Consultancy Services

KHUSHWANT PAWAR Head, Cyber Security Solutions - Mobility, Escrypt (ETAS Automotive)

There is a tremendous shift towards providing personalized experience, leading to the concept of hyperpersonalization. This is primarily driven by the fact that customers are looking at vehicles beyond just being a near mode of transportation. It is an extension of the connected home and the access to important digital touch points.

DR. AJAY PALKAR Head of Electrical & Electronics – EE I Technology Centre, SKODA AUTO Volkswagen India Automotive Industry, which is known as ‘Made from Strong Steel’, but nowadays with this digital transformation the description changes to ‘Made from Soft Data & Codes’. There is a digital transformation happening, digital innovation from the core-engineering point of view and digital disruption which get converted into new businesses.

Establishing a certified Cybersecurity Management System, it is the most important block of the regulations. So, if you have a certified Cybersecurity Management System, and it is followed throughout the lifecycle of the vehicles, it is most likely that vehicle type approvals will be smoother in future.

NEIL SHAH Partner & Research Director, IoT Mobile & Ecosystems, Counterpoint Research If the car is just equipped with a forward collision warning. There is a chance of 27% of reduction in the incidences and crashes and you add a bit to it that goes that almost doubles to almost 54% and then when you apply for detection plus rear cam and even breaking that goes to up to 78% reduction in number of crashes so actually ADAS is a boon for country like India where we see 93% of accidents are because of human error.

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Video Demonstration - Elektrobit

Video Demonstration - SecureThings

Video Demonstration - Sheeva.ai

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ATUL JAIRAJ Director Deloitte India

Man or human is a social animal” is a quote that we all know. I’d like to extend that quote to say that “A vehicle is actually a social machine” because there is no purpose in having a vehicle that’s sitting in your garage and of no use. The vehicle’s main purpose is when it’s out on the roads.

UJJWALA KARLE Deputy Director Technology Group ARAI We can’t forget that we have more than 75% younger population in India and 37 percent of deaths are happening which are involving this segment. So something related to ADAS can also be very effective. I strongly believe that ADAS is important but we have different matrices to be drawn for different classes of vehicle in India. Probably we have to look at ensuring global technology is adopted for Indian solutions.

SANJAY DHAR Director Elektrobit India

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KAUSHIK GANGULY Director - Strategy & Planning Great Wall Motor The present and the future of India what we believe would remain is a more value conscious consumer and by definition the value is a kind of a numerator by denominator; where the denominator is maybe the price acquisition, cost or the total cost of ownership of the vehicle etc. and the numerator is what he’s getting in return.

VALLISH K NAGAR Head of Engineering, ADAS Solutions Robert Bosch GmbH As we are aware ADAS is about how we can sense objects and scenarios, think and act correspondingly on Indian roads and there’s a lot of variety and complexity, so this has to be handled with robust engineering. Good infrastructure would play a key role here. However, we can take a staggered approach by on-boarding ADAS components and acclimatizing the ecosystem with probably warning functions.

SUNDARARAJAN RAMALINGAM VP & Head of the Department, Automated Driving and Active Safety Mercedes-Benz India To solve the urban mobility problem- first of all, technology has to make a quantum leap. You have to have less false positives, less true negatives. You can’t have ghost objects coming in from the radars and cameras. We need to be 100% sure what the sensors are telling us is absolutely fine and second is you need data.

AJAY SINGH TOMAR Head of Development Center India Continental Automotive We had a lot of road accidents based on the very big population in India, but if you look at 2020 data which was the pandemic year when we were all sitting at home and still had 1.32 lakhs accidents on the road because of Indian road conditions. I think that we need to do a lot of stuff before we talk about which features come into the market. The first step is that we need to make the regulations mandatory.

The software that works in a global context cannot be lifted and shifted for the Indian context. The software needs to be tweaked and customized for India specific nuances because Indian roads have many objects that are alien to these softwares that work in the western conditions so from that perspective, adaptation and customization is definitely required. While there is software that exists, the question still constantly remains that how safe is safe enough?


KAVAN MUKHTYAR Partner and Leader Automotive PwC India Connected mobility is really reaching a point of maturity. While it began as something new is being tested, but now is the time when the consumers are really adopting it and it is a time of innovation, a lot of work can be done by working with the ecosystem. This is going to be a very exciting time, so we really look forward to mobility becoming safer, cleaner and more sustainable.

ASIT K PADHI Head Connected Vehicle Service Stellantis OEMs should understand that this is no longer the game of OEMs anymore. We should go back and see that all big technologies are autonomous and electric. Tesla to start with the Beat application, IBM, Microsoft are doing their experiments on autonomous vehicles. It is a matter of time before they bring the technology to the forefront and start collaborating with OEMs.

AJAY SHARMA Director, Chief Platform Head - HCV Mahindra & Mahindra

NAVID TALIB VP & Head of Operations Honda Cars India Connected technologies which have come in the vehicles are increasingly viewed as smartphones on wheels by many customers. OEMs need to stay ahead of this by designing appropriate strategies & technology applications & the go to market strategy needs to chase. That means now the automotive industry needs to invest in features & configuration which truly would make the difference and address the customers’ pain point and develop pricing plans.

ANISH AGARWAL Director Sheeva Connected India Pvt. Ltd. Our belief is that connected mobility will not only be helpful in giving comfort, convenience and safety to the customers but at the end of the day, OEMs, service providers and third party developers like ourselves, we will have to monetize the connected mobility because of the cost associated with data as well as storage.

VISHAL BAJPAI Co-Founder & CEO SecureThings

Though, as we observe today, shared mobility is going to be important, we are also seeing a trend where owning a personal vehicle is again gaining momentum. Covid is creating a lot of opportunities, & OEMs are providing many such features that the customer demands as well as creating a lot of threat, & it is creating a challenge from the assurance point of view. That is what we need to look into to provide the right value to the customers.

SAURABH OHRI Automotive BU Head Tata Communications

We have seen that urban mobility is really a growing trend in the market. I can’t count the number of RFPs, which were released by the states or cities in 2021. More than 300 RFPs globally, where the govt bodies want to set up their own mobility platform to capture the data which is coming from the fleets on the roads. As a trend, the automotive industry is kind of becoming a subset of the mobility industry.

Data is the new currency that gives us a lot of possibilities which we have today. It can be a better and safer world with data usage and the government is also taking some initiatives like putting some emergency connect, AIS 140, or the toll tax through GPS. Although few people have some reservations about privacy, so going forward we all are responsible for how we can make this data usable to ensure the advancement of technology while addressing the privacy concerns.

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Industry Insight

Connected Autonomous Vehicles: THE JOURNEY AND THE ROAD AHEAD PRAVEEN DHUSIA

Teltonika India

C

onnected Autonomous Vehicles (CAV) is a radical technology that has great potential to improve the efficiency of public transportation systems and reduce vehicular accidents. The transport industry is in transition; like every other sector it is driving towards automation. Leading car manufacturers like McLaren and Ford are leading the way in researching consumer needs and the business model required to fully embrace autonomous technology. As per a report from the consultancy firm Boston Group, connected automated vehicles would have a market share of 53%

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by 2025, which will grow exponentially to 77% by 2030.

The Evolution of Autonomous Vehicles When Google introduced autonomous vehicles in 2017, the original price tag was $80,000. Today, the price is approximately one-tenth of that. Though driverless cars may still be a distant dream for many, the investor interest has not diminished for the technology. However, the history of driverless cars can be actually traced back to the 16th century with Da Vinci’s self-driven cart. In this model, high tension springs provided

the power output while the steering could be set in advance for a predetermined path. This ingenious design is often regarded as the first robot in this world. When Robert Whitehead invented a torpedo that could travel several miles underwater while maintaining depth, it proved to be a revolutionary step forward for guidance systems with numerous weapons and other autonomous devices being designed with inspiration from Whitehead’s tropedo guidance mechanism. But perhaps the greatest step towards autonomous technology was the first autopilot aircraft designed by Mechanical Mike. Gyroscopes, which are an essential


is closest to reaching the level 5 of automated driving with its self-driving systems capable to operate without any human interference. Waymo currently stands at Level 4 of automated driving which can completely stop a vehicle in case of any system failure. The image below shows how Waymo technology operates:

Autonomous Vehicle Implementation Prediction by Victoria Transport Policy Institute, December 2015

part of autonomous vehicles today, kept track of the autopilot plane’s control for following an accurate direction. Subsequent developments in automation technology were made with the invention of cruise control, microprocessing modules like cameras and the idea of remote-controlled lunar landings. The US Department of Defence Research conducted a series of experiments which further improved autonomous technologies drastically. In 2007, four selfdriven cars navigated 60 miles in an urban environment within the allotted 6 hours’ time limit. And when Tesla introduced its autopilot feature in 2015 which enabled hands-free control for highway driving, the autonomous technology was promulgated to the world as a revolutionary step forward towards safe driving and improved transport systems.

development of autonomous cars, while Apple and Uber have joined hands on autonomous car projects. In Europe, BMW and Mercedes-Benz are already leading the way with several autonomous prototypes currently in the designing phase. Recent developments in the technology include the following: ● With 20 million miles clocked by the driverless cars of Waymo, an autonomous car technology company founded in 2009, the company is regarded as the leader in CAV technology. The company

In addition to the LIDAR technology, Waymo also uses GPS sensors to detect audio sirens from emergency vehicles. ● Cruise, another autonomous car company founded in 2013 released the Origin, a fully driverless car without a steering wheel or pedals. Designed for highway speeds, the vehicle has a lifespan of 1 million miles, which is about 5 times more than the lifespan of an average car. Origin is due to be used under Cruise’s ride sharing services as a taxi. The vehicle has ‘owl’, a hybrid sensor assembly using both the radar and camera. ● Argo AI is another company working towards a fully integrated self-driving system. The company is working with Ford and Volkswagen to develop Level 4 of automation technology. Argo AI seeks to integrate LIDAR, radar, cameras and

Recent advancements in CAV technology Recent developments in CAV technology have taken leaps in ensuring passenger safety selfdriven vehicles. Car-makers and tech companies have joined hands to develop the technology with a microscopic focus on crash notifications, prior accident warning, over-speeding, presence of fog or black-ice, and so on. Famous tie-ups include Microsoft partnering with Volvo and Toyota for the

Beaming a million Laser pulses per second, the LIDAR system measures the reflection return time to evaluate its surroundings. It uses wavelengths to track objects and motion. Source: https://www.researchgate.net/figure/Autonomous-car-Waymo-and-its-instrumentation-system_ fig1_326900783/amp

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Cruise Origin Interior Design. The digital screens overhead displays passenger and route information. Source: https://www.slashgear.com/cruise-origin-electric-autononous-shared-transportgm-honda-revealed-21607372/amp/

light detection sensors to develop a fully automated vehicle. Argo is using machine learning algorithms to solve the technical challenges of perception and decision-making in automated technology. In 2019, Argo AI partnered with Carnegie Mellon University for

$15 million research to study advanced algorithms for autonomous vehicles. The company uses alternate systems for the driver to take manual control in the event of a power loss along with a power backup system for braking, steering and sensor components.

Although the world is rapidly progressing towards an automated driving future, the application of the technology has been limited in India to cruise control and development of v2v systems. This is due to the lack of in-depth driving data and poor infrastructure coupled with several basic challenges like lack of highspeed internet service in many areas. However, this has not dampened the spirits of IT firms and autonomous vehicle start-ups to try and navigate these challenges for a better automated future. ● Ati Motors, a Bengaluru-based startup has started developing autonomous electric cargo vehicles with features such as electro-mechanical braking, OTA software updates, lithium-ion battery, etc. ● Flux Auto is another Bangalore based self-driving tech company for commercial vehicles. The company is currently developing its software which can be retrofitted in trucks with cruise control, lane keeping and anti-collision features. Flux Auto uses cameras instead of LIDARs to drive down costs. ● Swaayatt Robots is a developer of selfdriving technology for on and off-road vehicles. The Bhopal-based start-up has claimed its motion, perception and decision frameworks can handle the complex traffic situation on Indian roads.

Roadblocks in CAV technologies In order to ensure development and commercialization of automated cars, there is a need to navigate through several tech and other challenges that lie ahead:

Source: https://www.therobotreport.com/argo-ai-cmu-developing-autonomous-vehicleresearch-center/

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Safety The reliability of self-driven cars would depend on the distance covered by the car. As per the requirements, the autonomous car should be able to drive 291 million miles without any accident for a 95% equivalence to human drivers. Another major concern is testing the vehicles in ‘difficult miles’, or challenging road situations like diversions, constructions, etc. So far, prototypes have been tested in ‘easy miles’. In 2018, the first fatal accident occurred when a Level-4 Uber prototype hit a pedestrian who was crossing the road. As


‘Mcity’ which tests the performance of automated vehicles based on accelerated evaluation, behavior competence and corner cases. Accelerated evaluation focuses on collecting driving data pertaining to lane changing, left turns and car following. Under behavior competence, the driver’s behavior is made risky to focus on navigating through ‘difficult miles’. The test results were then evaluated and 16 safety scenarios were identified. Source: Sven Beiker, Stanford University; Various

per the NTSB report, the pedestrian was detected, but not identified correctly. The University of Michigan proposed its own autonomous car testing facility

Testing and Validation Autonomous driving systems require a comprehensive testing framework, as the software is too complex and any decision made by the system would affect human lives directly.

Traditional validation and testing measures are not feasible for autonomous systems due to the high level of uncertainty involved. Alternate approaches like machine learning may be able to design a more comprehensive system for advanced decision making. But for processes like object detection, the algorithms classifiers need to be subjected to a large amount of data, making the process much more complex. The Fail-system design is another challenge, as two independent subsystems are required to ensure that one takes over if the other one fails. Object Identification in relation to its surroundings Dynamic situations on the road like diversions, construction sites, missing road signs, etc. are contributing factors towards orientation challenges on road. Measures such as real-time image processing and machine learning integrated in Tesla cars enables the software to adapt to dynamic road conditions. Other companies rely on LIDAR for a 3-dimensional map of the surroundings.

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Source: Source: https://archive.factordaily.com/

Creation of smarter environments is yet another approach which can reduce the complexity of such challenges by informing the vehicle of any change in the surroundings. Legal challenges The need of a regulatory framework is pivotal for the development and deployment of CAV technologies. With driverless cars, there is a shift of liability from drivers to car makers regarding accountability in case of any mishaps. All major consumer concerns have to be considered before actual deployment of Level 5 automation technologies on road. Financial Challenges The development and deployment of autonomous vehicles is a steep challenge financially. The software and hardware components required for CAV technologies like sensors and communication devices are considerable, which may limit Level 5 automation features to premium tier models exclusively. This would directly affect the end consumer regarding affordability. Ride-sharing models like Cruise origin could be the answer during the first phase of mass deployment of CAVs. However, it is imperative to make the

technology affordable in the near future to ensure mass adoption of autonomous vehicles. Ethical challenges As per a 2017 report by the German Ethics Commission, “ In the event of unavoidable accident situations, any distinction based on personal features (age, gender, physical/ mental constitution) is strictly prohibited. It is also prohibited to offset victims against one another. General programming to reduce the number of personal injuries may be justifiable”. But, due to the immense complexity of on-road situations, autonomous cars may face situations where they need to make a choice between putting the lives of the passengers at risk or saving a pedestrian. Even with the presence of regulatory frameworks, this can be a daunting task due to the moral characteristics of individuals. The future of autonomous cars depends on overcoming this challenge, which can only be done with the consent of all stakeholders after thorough analysis on the benefit and risk of each decision made in this regard.

Towards an autonomous future Although there are many roadblocks and

AUTHOR PRAVEEN DHUSIA

Business Development Manager Teltonika India Indian Institute of Management Alumnus with 8+ Years of Experience. I hold a degree in Electrical and Electronics Engineering and have expertise in IoT solutions. Worked on some landmark projects like Buddha International F1 1Circuit, Redevelopment of Connaught place, IGI Airport Terminal 3 (MEP) etc.

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challenges for implementation of CAV systems, the benefits that they may bring is far greater than the risks involved. The key to overcome all the challenges and limitations is to have the best solutions, which starts from choosing the best hardware. Working with the best IoT devices manufactures I have realized that there is nothing like cheap and best, at the same time there can be a huge difference in accuracy and performance in the best and the second best. So always go for highest rated best performing hardware start with having a proof of concept, test these devices and build your IoT ecosystem on these pillars. If successful, CAV has the potential to drastically improve transportation systems, driver safety, fuel and parking efficiency, emission reduction, etc. In a developing country like India, where public transportations are already stretched to the limit by catering to a population of 1.38 billion, CAV technology is definitely the future. For successful implementation of CAV technologies, the need is a conglomeration of all stakeholders, from manufacturers, tech companies and regulators to arrive at a general consensus on how to best use this technology and limit the risks involved in autonomous vehicles. “With great power comes great responsibility”, we at Teltonika do realize this since decades and we have been making sure we do our bit to help IoT ecosystem grow. Our teams offer special attention to new players in the industry and help them wherever needed with their expertise, over the time we have provided our constant support to many Integrators and they have grown exponentially over the time.


Industry Insight

Autonomous & Connected Mobility: The Intelligent Choice ANUJ KAPURIA

Hi-Tech Robotic Systemz Ltd

T

hese days catchphrases like sustainability, sustainable development and, protecting the environment are the centre stage of most conversations. The automobile sector too is discussing its future which revolves around new

and emerging technologies. ACES (Autonomous, Connected, Electric and, Shared) mobility is recognized as the most disruptive trend in the automotive industry. Among all of them, autonomous vehicle technologies are among the most heavily researched topics. The vehicle technologies

currently available are only a fraction of what is being developed for the future. It is becoming clearer that autonomous, connected and electric vehicles will provide significant social, industrial, economic, and environmental benefits in the future. Connected Vehicle combines leading-

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edge technologies — advanced wireless communications including 5G, onboard computing, advanced vehicle-sensors, navigation, smart infrastructure, and others — to enable vehicle basic connectedness to complex experiences that span from basic digital services to identifying threats and hazards on the roadway and communicate this information over wireless networks to drivers. Autonomous vehicles technologies specifically up to L2 level would bring a wide array of benefits even for the Indian market, including reduction of overall accident rates in India by reducing driver stress, and providing a split-second advantage for the driver to react in critical conditions and then take evasive maneuvers if the driver fails to react. Novus Drive, a full-stack autonomous driving software developed by The HiTech Robotic Systemz, has already enabled many vehicle platforms including the first driverless shuttle made in India. This first Indian driverless shuttle uses state-of-theart scene understanding and perception algorithms with multiple sensors specifically cameras which allow it to perceive its environment and take intelligent control decisions while maintaining a comfortable ride for its passengers. It uses multiple failsafes and redundancy both in hardware and software to maintain safety while driving autonomously to dropping passengers at their respective destinations. Mobility and movement of both people and goods are one of the core needs for human progress across centuries. Though technological changes are taking place at an ever accelerated pace, the automobile hasn’t been able to keep up. Now, we are in a position where it can be redefined and reimagined. India has already leap-frogged many technologies over the past few decades, the discerning Indian consumer expects nothing less than their global counterparts in today’s globally connected world. This

is bound to push the Indian automotive industry to adopt new technologies at a fast pace. The capability to identify, collect, process, exchange, and transmit realtime data provides drivers with a greater situational awareness of the events and potential threats thus helping them make better decisions.

When combined with autonomous vehicle technologies specifically for active safety applications, a Connected Vehicle attains the ability to respond and react when the driver can’t or doesn’t react in time, significantly increasing the effectiveness of crash prevention and mitigation. Some potential applications of Connected Vehicle are described below:

● Vehicle-to-vehicle (V2V). When a vehicle brakes suddenly, it can transmit a message to vehicles behind that enable those vehicles to warn drivers to stop, or automatically apply brakes if a crash is imminent. ● Vehicle-to-infrastructure (V2I). A vehicle involved in an accident could transmit incident data — time of the incident, type of crash, severity — through a roadside infrastructure device to system operators who then broadcast regional warnings. Simultaneously, incident data could be transmitted directly to emergency dispatchers for emergency response. ● Vehicle-to-device (V2D). A vehicle turning right may be able to send an alert to a bicyclist’s cell phone or an e-bike and avoid a potential collision. Although adding connectivity to vehicles has its benefits, we still need a lot of advanced technology and improvements to make Autonomous and connected vehicles a common sight on Indian roads. Connected and Autonomous vehicles come with many facilities and advances, but to

AUTHOR ANUJ KAPURIA Chief Executive Officer / Founder / Managing Director Hi-Tech Robotic Systemz Ltd Anuj has over 15 years of experience developing autonomous solutions and mobile robotics platforms. He built The Hi-Tech Robotic Systemz from the first prototype to its current position as the Indian market leader in robotics and multimillion-dollar international contracts.

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have widespread use of autonomous vehicle technologies, there is a need by spreading awareness that autonomous vehicles are not necessarily equal to driverless vehicles. While L5 level autonomous vehicles are the long-term vision, in our view, autonomous vehicle technologies can help make the Indian roads safer as over 90% of road accidents are caused by human driver error causing India 3-5% of its GDP. Some Needs and Challenges that the industry is facing are mentioned below● Advanced Sensing & Perception India is a land of multiple seasons and constantly changing climatic conditions. So bad weather combined with heavy traffic generally creates complex driving conditions. Apart from this, other factors such as improper road signs, degraded road markings, drivers not following driving rules, etc. increase the risk of accidents and collisions. Autonomous vehicles use a broad set of sensors to “see” the environment around them, helping to detect objects such as pedestrians, other vehicles, and road signs. Cameras help the vehicles to view objects and therefore autonomous and connected vehicles can provide the owner with an increased sense of safety and security. • Advanced AI-based Control Most autonomous vehicles use artificial intelligence and machine learning to process the data that comes from their sensors and to help make the decisions about their next actions. The vehicle will then use this information to help decide how the vehicle needs to act, such as braking or swerving, to avoid a detected object thereby proving to be safer. This itself can go a long way in making the Indian roads safer and avoiding collisions, which are often the result of driver inattentiveness. • Learning on the open road Once an autonomous vehicle is on the road it will continue to collect data and learn. As it continues to encounter new situations, new roads, detect objects it hasn’t come across in its training, it will collect this data which can be used to learn further through software updates. • Regulation In India, we need to have standards and regulations for autonomous vehicles and ADAS technologies to drive mass adoption.


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Industry Insight

Road Weather Data: Increasing the Safety of Today’s Drivers and Tomorrow’s Automated Vehicles TIMO KORPELA

Vaisala

A

combined cost related to automotive accidents in 2020 totaled an estimated $474 billion according to the Insurance Information Institute. When you consider the financial consequences, these numbers are staggering. Driver error and inclement weather are two of the primary factors in the number of incidents that happen on our roads. Fortunately, there are important innovations perused here, take these challenges head on.

Addressing Human Error on the Road When it comes to driver error, the road safety ecosystem is changing thanks to the development and integration of new generations of advanced driver assistance systems (ADAS) and automated driving (AD) systems. As these technologies advance, society inches ever closer to the lofty promise of

self-driving cars whisking us from point A to point B while we sleep, work or entertain ourselves. Autonomous vehicles are tomorrow’s answers to no more car crashes, no more drunk driving and no more traffic once we hand over control of the steering wheel. While seat belts and air bags can reduce the number of deaths, new autonomous vehicle technologies could help even more as driver error is eliminated. In fact, research from the U.S. Department of Transportation found that fully autonomous vehicles could reduce traffic fatalities by up to 94% by eliminating accidents that are due to human error. With nine of 10 serious crashes occurring as a result of human behavior, automated vehicle technologies have the potential to save thousands of lives, as well as reduce congestion, enhance mobility and improve productivity. While full autonomy for vehicles is

currently out of reach, except in special trial programs, they will come to fruition in the future. This why automotive manufacturers, transportation authorities, insurance companies and other players in the road safety ecosystem are now preparing for the enormous impact that data-driven, dataderiving self-driving cars will ultimately have on society. Then there is the issue of inclement weather. Weather is a component that impacts not only the future of autonomous vehicles, but today’s driver safety needs. The entire road safety ecosystem is taking the necessary steps now to know and take action to address inclement weather conditions on our roadways.

The Impact of Weather on Driver and Road Safety Whether through visibility impairments, precipitation and accumulation, high

Example of how road weather data can be used as part of a navigation system: these are visualizations and not actual screenshots from any application

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winds, or extreme temperatures, weather events affect driver and passenger safety, vehicle performance, road friction, transportation infrastructure, traffic flow (or the lack thereof), and transportation agency operational decisions. There are, on average, nearly 6 million vehicle crashes in the U.S. each year, and more than one in five of those accidents are weather-related. The Federal Highway Administration defines “weather-related crashes” as those that occur in adverse weather (i.e., rain, sleet, snow, fog, severe crosswinds or blowing snow/ sand/debris) or on slick pavement (i.e., wet pavement, snowy/slushy pavement or icy pavement). Accordingly, with an average of nearly 6,000 people being killed, more than 440,000 people being injured and weather-related crashes costing $53 billion each year, inclement weather conditions clearly have a significant impact on roadways and traveling conditions, causing entirely too many accidents and too much damage. Despite the promise of improved safety through the reduction of human error, automated vehicles too require highly accurate data about all types of road weather and surface conditions that — if not considered — can compromise the safety of ADAS and AD systems or initiate a system disconnect in adverse weather conditions. While human drivers often make adjustments before and during their trips based on perceived weather and weather forecasts, they rarely cancel their journey because of the weather and often opt to just drive slower instead. However, the statistics starkly exhibit that this tactic is

not a surefire way to ensure safety from the impact of weather. So, how can both human drivers and autonomous vehicles mitigate weather-related risks? With greater situational awareness of the current weather conditions and improved road forecasting. Through a combination of today’s connected car capabilities and hyperlocal and timely weather and road weather predictions, promising opportunities to improve safety, efficiency and convenience for everyone on the road are emerging.

cloud-based data processing and dynamic content, road weather technologies are able to collect the detailed atmospheric weather and driving condition forecasts necessary to inform drivers, ADASs and AD systems whether to adjust their travel schedule, take an alternate route or adjust driving behaviors to improve safety and convenience. With recent findings showing that ABS systems have been proven to reduce the number of accidents by 8% - imaging the difference a system connected to road conditions can make.

How Road Weather Data Can Mitigate Risk

Leveraging Road Weather Technology

Before a human driver or an autonomous vehicle can take action or even plan to take action, knowledge of what is happening on the roads is necessary. The decisionmaking process is based on accurate and reliable measurements of atmospheric and road weather conditions, and without such information, driver, passenger and road infrastructure safety remains in jeopardy. Today, the optimal way to keep all drivers — from humans to self-driving cars — informed of weather and road weather conditions is by taking advantage of smart technology. The sensors and systems aboard connected vehicles gather massive amounts of information, such as real-time traffic, road incidents (e.g., accidents), and weather-related phenomena from wipers and braking systems, to keep drivers and driving systems informed, enabling them to anticipate how inclement weather could impact their trip. By combining on-board sensors with

Despite its growing availability, very little data from connected vehicles is being used. Even in new model cars, drivers still receive very little support or real-time data pertaining to weather or driving conditions from in-vehicle technology — most drivers see just the ambient temperature reading in their car’s dashboard. However, by providing precision road weather information in all conditions, road weather technology can help drivers, ADASs and ADs stay safe while conveniently optimizing route and travel times. Consequently, how can we make road weather technology more available and useful for drivers and stakeholders alike? For starters, aligning the interests, capabilities and responsibilities of all stakeholders across the road safety ecosystem would be a positive first step. As automotive technology evolves, manufacturers must find ways to meet October 2021 | Telematics Wire | 23


Autonomous vehicles are tomorrow’s answers to no more car crashes, no more drunk driving and no more traffic once we hand over control of the steering wheel. While seat belts and air bags can reduce the number of deaths, new autonomous vehicle technologies could help even more as driver error is eliminated. customer expectations for assisted and automated driving and in-car access to value-added infotainment content — while also supporting driver safety and passenger comfort. Second, increasing communication between drivers and road authorities can help drivers adapt to environmental conditions while ensuring authorities responsible for road infrastructure safety have the information necessary to keep roads clear and safe. By leveraging road weather technology to increase communication between drivers, their vehicles and road authorities, drivers are better able to adjust how they drive to

account for environmental conditions and road authorities can choose when and where to deploy fleets and the correct maintenance actions to take. Finally, by providing road weather technology solutions to automotive manufacturers and suppliers, more players involved in the road safety ecosystem can begin using road weather technology to enhance driver safety and passenger comfort while providing valuable information to drive ongoing product development. Through a combination of automation and machine learning, new technologies are able to ingest measurements and forecasts and automatically convert that information into actionable insights. Today, a significant amount of weather and road weather data comes from radars, mobile sensors, IoT sensors, road weather information systems and environmental sensor stations. This data can be used to deliver early warnings related to weather hazards like slippery roads, reduced visibility and strong winds, thereby enabling better route planning and notifying drivers to prepare and adjust for driving in poor conditions. In addition to hyperlocal atmospheric weather forecasts, modern road weather technologies are able to leverage data to predict current conditions ahead, factoring in different phenomena for slipperiness, poor visibility and other weather-related conditions affecting driving safety and traffic congestion.

Road Weather Technology in the Real World As discussed, one way that road weather technology can improve driver/passenger safety is by informing drivers about hazardous road conditions. Whether through a vehicle’s digital infotainment system or by adapting a vehicle’s essential

AUTHOR TIMO KORPELA Head of Automotive and Partnerships Vaisala Timo Korpela leads Vaisala’s automotive partnerships and business development in North America. He has over 20 years of business management experience in telecommunications, wireless, human-machine interfaces, IoT and automotive.

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functions in real time, the weather-based navigation, dynamic routing and weather warnings help both drivers and vehicle navigation systems. Equipped with accurate and reliable road weather forecasts, drivers can respond by slowing down to avoid hazards and onboard vehicle systems can dynamically reroute toward safer and drier routes. Consider the following examples of how to use road weather technology improve safety. Vaisala, a global leader in weather, environmental and industrial measurement, provides actionable road weather data and insights that can be used in various applications from infotainment to more sophisticated use cases. General weather condition information, detailed point forecasts, and road surface measurements and driving conditions forecasts combine to provide comprehensive information about external factors that can impact the driving experience. By delivering time-critical signals that can alert drivers, automated vehicles and in-car systems to safety issues as they happen such as slippery roads, reduced visibility, strong winds, weather incidents, traffic or other road hazards – advanced data capabilities help drivers and vehicles make the necessary adjustments to minimize or eliminate the impact of poor conditions. As the road safety ecosystem continues transitioning toward a driverless future, road weather technology will be essential in helping drivers stay safe while conveniently optimizing route and travel times as well as in developing and integrating ADASs and AD systems that depend on the technology’s ability to safely operate in environments where the conditions constantly change. When it comes to road safety, better decisions can save lives. Because understanding the potential impact of weather on road networks is critical for maintaining safety and mobility, road weather technology solutions that leverage real-time weather observations and forecasts can both improve safety and support the ongoing research and development of advanced driving technology and customer-facing road weather products.


October 2021 | Telematics Wire | 25


Industry Insight

DATA AND INFORMATION MANAGEMENT Challenges and Opportunities for Automotive Manufacturers AVNEESH PRAKASH

Tata Communications

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he automotive industry is undergoing a profound change with the aim to transform the driving experience, fuelled by innovative technologies like IoT and 5G. With the focus on efficiency and business growth, automotive manufacturers are adopting Industry 4.0 techniques in design, manufacturing, and supply chain management. A general shift away from the internal combustion engine (ICE), towards increasing focus on alternative forms of transmission, such as Electric, Hybrid and Hydrogen fuel cells is also being seen. Manufacturers are keen to unlock the value of vehicle to everything (V2X) connectivity, with ADAS (Advanced driver-assistance systems) technology providing a stepping-stone towards fully autonomous vehicles, as well as addressing current applications including automated toll road payments, predictive maintenance, enhanced roadside assistance

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and emergency response mechanisms. Changes in regulations governing safety, emissions, and emergency response mechanisms and new approaches to vehicle ownership and access are further enabling this sector to embark on the transformation journey of the complete ecosystem.

From Connectivity to Information Management Analytics plays a central role in achieving this transformation of the automotive sector. So how do manufacturers make the most of data? Today’s vehicles are data centres on wheels. They can have 100s of built-in sensors, and thousands of lines of software code permanently monitoring multiple factors, such as speed, engine temperature, braking, proximity and many other functions. The connected vehicle is collecting data from multiple sources- either for use across the vehicle itself, or for external

transmission. Modern vehicles generate around 25 gigabytes of data every hour. Autonomous cars will generate even more data, up to 3,600 gigabytes of data per hour, according to expert forecasts. Accompanying this shifting focus, the value in the vehicle changes from the hardware aspects of the car such as steel, rubber, plastic, and copper wire towards value of the software and content associated with it. Within a decade the value paradigm would have shifted towards a data and content data paradigm.1 Demand for built-in connectivity and telematics in automobiles has resulted in technological improvements, which aim at enhancing the overall in-vehicle experience for the passengers as well as drivers. With the connected vehicle, widespread embedded cellular connections are enabling new ways to inform and entertain drivers, as well as maintain the vehicles over its lifecycle. As vehicle functions become ever more defined by software, the


In this diagram: Cellular Medium acting as a Data Enabler, represents applications of a few Connected Vehicle Data.

ability to update software OTA (over the air) makes embedded cellular connectivity an essential means of maintaining the security and relevance of cars over the vehicle lifecycle. The next five years will see connectivity transition from being a support for improved user experience to providing core, mission-critical functions for personal mobility. The data derived from connected vehicles can be used across the entire value chain, from vehicle development and production, through the Dealer/Reseller network, to sales and after-sales service. Data can also be used to monetise services post-sale. For example, with a more software defined vehicle, it is possible to ‘unlock’ new features and services post-sale using SOTA techniques. In support of this idea, according to industry consultancy company McKinsey report, on a per vehicle basis, connectivity could deliver up to $310 in revenue and $180 in cost saving per year on average by 20302 . That’s a big opportunity in a relatively stagnant market when measured on volume. While there are opportunities associated with vehicle data, there are several challenges associated with getting access to accurate data. These challenges include: ● Visibility and Transparency – Is it possible to get access to the same data that the Mobile Network Operator has? ● Control – Who owns the data? What are the local regulations around data privacy, data sovereignty? ● Security – How to ensure secure data transmission between the vehicle, the

mobile network, and the OEM data centre? ● Excessive Data Collection – Too much data can lead to consumption of unnecessary resources and not being able to monetise well. You need to know how to use the data, not just collect it! As much as data that can be derived from a connected vehicle, there is the issue of the medium through which it is collected, which in most cases is the terrestrial cellular network. The cellular connection not only transports information from the vehicle, but adds additional information, including factors such as location, quality of connection, usage, identity. This combination of vehicle and communications medium represents an interesting opportunity to enrich the services and capabilities associated with connected vehicles. If we consider all the data that will be generated with vehicle-to-everything (V2X), the combination of vehicle data and the medium used for connectivity is critical. Many V2X use cases can be realised with the advent of 5G technology. At this stage we can introduce Mobile Edge Computing (MEC). With a combination of 5G and Mobile Edge Computing more data can be processed, faster. Operational data and post event analytics become more complex,

As the phenomenon of the connected vehicle develops more broadly, automotive OEMs need to evolve the connectivity management platform into a broader data management and monetisation platform. with the blurring of network functions and data processing functions. It should also be noted that not all data is equal. Some data needs low latency, real-time transmission, and processing.

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Source: ABI Research AN-5401 QTR 3, 2021

Other data can tolerate higher latency. It is important to understand how to prioritise what data needs to be processed and in what way. Let us consider a safety scenario, such as collision avoidance, which needs real time analysis and a quick reaction time, usually in tenths of a milli second. Such a service requires low latency and high data payloads while lower latency, lower data payloads such as predictive maintenance, traffic updates, route mapping can be managed using higher latency, slightly lower priority processing. While mobile edge computing can help manage this, there are different definitions of what and where the edge resides. The reality is that there can be multiple ‘edges’ at any one time. Questions such as how to access edge computing assets, how to determine when and where to process data in the mobile network edge and when to send and process data to the cloud need

to be responded in near real-time for data management to run efficiently. Remember some data may need to be processed in the mobile network edge and sent for storage and retrieval in the cloud. Data needs to be transformed into information, along multiple dimensions to provide efficiency and deliver an enhanced driver experience: ● Commercial use – to monetise the data such as customised infotainment packages, usage-based insurance among others ● Operational use – to provide optimum efficiency such as predictive maintenance, tracking, monitoring, theft alerts etc. ● Post event processing for analysis and use in vehicle development and for other critical purposes, such as accident information to make the car safer If we just focus on one aspect of data

AUTHOR AVNEESH PRAKASH

Head of Mobility Tata Communications Avneesh has 27 years of rich experience in technology and digital businesses. He has established and scaled digital businesses around areas such as digital identity & biometrics, India’s Aadhaar programme, financial inclusion and digital field services, leading the development of digital SaaS platforms in the process.

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management - enhancing the driver experience - it is possible to identify a range of value-added services: V-Commerce and payment services; Congestion charging; Usage Based Insurance; Automated toll road & vehicle tax payments; Entertainment and Infotainment services; Automated parking charges. As the phenomenon of the connected vehicle develops more broadly, automotive OEMs need to evolve the connectivity management platform into a broader data management and monetisation platform. This would need information about the communications layer and management of the communication interfaces . For this to be efficient it needs to be done not on a country-by-country basis, but preferably on a global basis. With a single point of contact to manage connected vehicle fleets in multiple countries and territories. The connectivity management platform must evolve to become both a technology enabler as well as a commercial enabler. This broader approach enables automotive OEMs to realise the full potential and commercial value of the data that connected vehicles are generating. 1 Source: T-Systems https://www.mckinsey.com/industries/ automotive-and-assembly/our-insights/ unlocking-the-full-life-cycle-value-fromconnected-car-data

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October 2021 | Telematics Wire | 29


Industry Insight

Indian Automakers and their Frontend Challenges of Connected Mobility DANI CHANDRASEKAR

Mahindra & Mahindra Ltd

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onnectivity is vital and integral part of everyone’s life in this modern era. Indian market is witnessing the impact of “Digitization & Connected Mobility”, ever increasing with the launch of Connected Car Technology. Connected car is the next big leap in Indian market and disrupting the automotive industry, gives enhanced user experience and open the gates for new business opportunities and new revenue streams. In fact, in India almost every automaker turned their focus on connected cars way-back, however the revolution of connected mobility kicked-in with the launch of internet cars from Hyundai and MG. The market for connected car is forecast to grow over the next few years as the car buyers in India are crazy about cars and opting for car having more sophisticated technology which offers ADAS (Advanced Drive Assistance System), Connected car technology etc., The benefits offered through this connected car technology are numerous and helps the users to stay connected with their peers, family & friends. Connected cars offer the end users to monitor and control their vehicle remotely and provides innumerable buckets of services such as location-based services, command & control services like remote door lock/ unlock, remote engine start/stop, remote AC control etc., entertainment services and other value-added services. Nevertheless, there are few challenges which have been faced by the automakers in India and automakers are looking forward for ways to overcome these hurdles.

1. Reliable Network & Coverage Major challenge for automakers is to provide the best user experience and a

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reliable network coverage. Hence it is important for automakers to offer seamless connectivity by ensuring wider coverage and 100% network availability. A little lag or smallest lapse in the connectivity services will completely ruin the customer experience and may provide wrong data points and inappropriate judgement in case of emergency situations. Hence automakers shall comply with latest telco technological trends, also ensure network security as there is a high degree to chance of breach with the emerging of these new technologies. Few MNOs’ (Mobile Network Operators) offers multi-carrier dataenabled SIM cards for M2M environment but there are few limitations that make the solution futile such as it can connect to only few predefined carriers, though a faster connection through a secondary or a different carrier is available, it still stays connected with the primary carrier and fallible fallback mechanism to primary carrier while connected with secondary carrier. Thus, maintaining wider coverage, state-of-the-art connectivity and network security in a mobility are highly challenging and require very good understanding and long-standing relationship between Automakers and MNOs, which is exigent and audacious dream of many automakers in India market.

2. Infrastructure aids Smart Cities & Connected Mobility Today’s smart cities focus on connected mobility with 5G technology. Of course, smart city revolution will only be possible when there is a fast, reliable connectivity. Hence it is expected in couple of years, 5G technology in India will be rolled out on a massive scale and unleashes incredible opportunities. Since 5G promises some radical changes

in telecom industry, telecom operators are urging the DoT (Department of Telecommunications) to define a clear road map of spectrum allocation and 5G frequency bands. 5G technology is expected to deliver improved user experience in terms of data download rates with greater spectrum efficiency, and ultra-low latency and expected to unlock the potential of the connected cars and be a driving force for smart cities. However, a recent study states that 4G technology in India to remain dominant despite launch of 5G technology, hence automakers could be puzzled with their technology roadmap aligning regime futuristic products enabling 5G. Around 100 cities in India covering 21% of India’s urban population are identified for Smart Cities, however there are few challenges remains unresolved; It is also unfortunate that a master development plan encompasses state-wise details, distinct target timelines, adequate infra and skilled man powers are yet to be conceptualized. Hence it is believed that the evolution of smart cities is predictable in India and may take a little longer time to gain its full momentum.

3. User Experience – A Different Dimension With the outbreak of COVID across the globe, end user demands are changing for all industries and the automotive industry is no exception. In-car payment is one of the most prominent trends in the automotive industry. Furthermore, there are many new trends emerging amongst automakers, one such trend is “Smart Wallet technology” that will pay users in cryptocurrency for sharing data such as road, traffic conditions etc., However in-car payment ecosystem include various services from different stakeholders including platform, processing, account,


connection, messaging, and settlement. Hence to guarantee 100% success in transaction in a mobility solution shall be nightmare for automakers. In addition, a recent survey indicates, screens are infiltrating the user’s “me time” and making them less happy. Developing mindful technologies with stopping cues are much anticipated for the users. Automakers are figuring out multiple ways to enable this through differentiated UX (User Experience) & UI (User Interface) leading to higher development efforts and cost. The perception of cars is changing and will be different in near future and future cars shall be perceived as “computers you can sit inside”. The competition among automakers is vicious and trying to keep with such demands can be cost-prohibitive and hence developing meaningful technologies are critical challenges. Currently Connected Cars and ADAS are in their infancy stages, end user understanding, and acceptance of these features will pave the way for next level autonomy and connectivity. Automakers are providing free subscriptions to the users ranging from one year to three years, the tangible acceptance of these features shall be recognized from the number of users who tend to go for re-subscribing once the free subscription trail is lapsed.

4. Safety and security should go hand-in-hand for better mobility Today’s techno-market unleashes the potential of internet and reveals that a connected car can communicate with thousands of devices and can control or can be controlled from anywhere anytime. Also in-car applications have become much sophisticated and can accommodate countless functions and services. However, every new feature or function added to a vehicle system adds to the risk of cyberattack. Without a bit of doubt, safety and security are the most critical area in automobile. If hackers get access to a vehicle to the cloud network, they can potentially hack the complete fleet of vehicles connected to that cloud network. In case of a Connected Autonomous Vehicle any breach in the system can lead to fatal accidents. Hence to keep vehicles safe from threats,

it is imperative that automakers need to adopt latest start-of-the-art cybersecurity approaches that addresses not only the distinct exposures in software, but also the hidden vulnerabilities and comply with ISO 21434 standard. Furthermore, it is misconceived that safety and security are different and security is more important than safety. Few automakers strongly believe that there should be safety underneath security and hence ensuring that the moderns cars comply with safety standards like ISO26262 and IEC61508 in addition. Safety and security are of paramount importance and any automobile would be rated primarily on how secure the car is and how safe it is from malicious intrusion and failure.

5. Indian Regulatory Guideline – An indefinite orientation Currently, all automakers in India in collaboration with government bodies and regulatory authorities facilitating enhancement of the competitiveness of the Indian Automobile Industry and take appropriate actions to improve safety

and security via intelligent transportation system. Indian public transportation and commercial purpose vehicles are equipped with location tracking devices, camera surveillance and emergency buttons to facilitate safe commutation, however the regulation of passenger vehicle segment is still indeterminate, and automakers are mystified with the regulatory guidelines of this segment. With the boom of ADAS and connected vehicles, it is expected that government and regulatory bodies would mandate features like automatic braking and lane departure warnings to reduce accidents in future followed by European countries. Automakers are also challenged to secure the user personal data collected over connected cars. A recent survey indicates that only 35% of Indian customer trust automakers to manage their car data and self, hence when government formulates pungent “Data Protection Regulation” in upcoming years, automakers should augment their database architecture to comply with the regulations.

AUTHOR DANI CHANDRASEKAR Lead Engineer – Mobility & Connected Technology Mahindra & Mahindra Ltd. Automotive electronics technical leader with 13+ years of experience in product development in Auto & Auto ancillary industries. Thoughtful professional in the automotive industry and focused in the areas of Green Initiatives, Energy Management, Drive Analytics, Cockpit Electronics, Automotive Infotainment, Telematics and Connected Cars. Pragmatic Thinker and data-driven decision maker who is extremely committed in providing automotive products with enhanced user experience.

October 2021 | Telematics Wire | 31


Car Launch

JAGUAR F-PACE SVR Jaguar Land Rover India has started deliveries of its new Jaguar F-Pace SVR in India. Jaguar F-Pace SVR has been priced from `1.51 crore in India. The performance of the F-Pace SVR is enabled by Jaguar SV’s engineers with specific software settings for throttle response, suspension and steering. The SUV is available in two colors - Mars Red and Sienna Tan. Apart from the petrol engine option, the company has also introduced the next-generation turbocharged Ingenium diesel engine.

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KEY FEATURES Safety Features:

Braking & Traction:

◆ ◆

◆ ◆ ◆ ◆

NCAP Rating- 5 Star (Euro NCAP) Overspeed Warning - 1 beep over 80kmph, Continuous beeps over 120kmph Emergency Brake Light Flashing Airbags - 6 Airbags (Driver, Front Passenger, 2 Curtain, Driver Side, Front Passenger Side) Middle rear three-point seatbelt Tyre Pressure Monitoring System (TPMS) Child Seat Anchor Points Seat Belt Warning

Engine & Transmission: ◆

Engine - 4999 cc, 4 Cylinders Inline, 4 Valves/Cylinder, DOHC ◆ Fuel Type – Petrol ◆ Max Power - 543 bhp @ 6250 rpm ◆ Max Torque - 700 Nm @ 3500 rpm ◆ Drivetrain – AWD ◆ Transmission - Automatic (Torque Converter) - 8 Gears, Paddle Shift, Sport Mode ◆ Emission Standard – BS6 ◆ Turbocharged

Anti-Lock Braking System (ABS) ◆ Electronic Brake-force Distribution (EBD) ◆ Brake Assist (BA) ◆ Electronic Stability Program (ESP) ◆ Four-Wheel-Drive ◆ Hill Hold Control ◆ Traction Control System (TC/TCS) ◆ Differential Lock (Electronic)

Locks & Security Features: Engine immobilizer Central Locking - Keyless ◆ Speed Sensing Door Lock ◆ Child Safety Lock

Entertainment, Information & Communication Features: ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆

Telematics Features:

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Smart Connectivity - Android Auto, Apple Car Play Integrated (in-dash) Music System Touch-screen Display GPS Navigation System 6+ Speakers USB Compatibility Aux Compatibility Bluetooth Compatibility (Phone & Audio Streaming) MP3 Playback AM/FM Radio iPod Compatibility Steering mounted controls Voice Command

Instrumentation:

Find My Car Check Vehicle Status Via App ◆ Geo-Fence ◆ Emergency Call ◆ Remote AC On/Off Via app ◆ Remote Car Lock/Unlock Via app ◆ Remote Car Light Flashing & Honking Via app

◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆

Digital Instrument Cluster Electronic 2 Trips Meter Average Fuel Consumption Average Speed Distance to Empty Digital Clock Low Fuel Level Warning Door Ajar Warning Adjustable Cluster Brightness Gear Indicator Dynamic Shift Indicator Digital – Tachometer Instantaneous Consumption

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Car Launch

MAHINDRA XUV700

AX 7 Diesel AT AWD Luxury Pack 7 STR Mahindra announced the price of its XUV700 varients on 30th September. Mahindra XUV700 AX 7 Diesel AT AWD Luxury Pack 7 STR is the top model in the XUV700 lineup and the price of XUV700 top model is ` 22.99 Lakh. It is available in Automatic (Torque Converter) transmission and offered in 5 colours: Midnight Black, Electric Blue, Dazzling Silver, Red Rage and Everest White. The deliveries for the petrol variants will start from 30th October and diesel variant deliveries will begin from the last week of November.

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KEY FEATURES Safety Features: ◆ ◆ ◆ ◆

◆ ◆ ◆ ◆ ◆

◆ ◆ ◆ ◆ ◆

Blind Spot Detection Lane Departure Prevention Rear Cross-Traffic Assist Overspeed Warning - 1 beep over 80kmph, Continuous beeps over 120kmph Lane Departure Warning Emergency Brake Light Flashing Automatic Emergency Braking (AEB) High-beam Assist Airbags - 7 Airbags (Driver, Front Passenger, 2 Curtain, Driver Knee, Driver Side, Front Passenger Side) Middle rear three-point seatbelt Middle Rear Head Rest Tyre Pressure Monitoring System (TPMS) Child Seat Anchor Points Seat Belt Warning

Engine & Transmission: ◆ ◆ ◆ ◆ ◆ ◆ ◆

Engine - 2184 cc, 4 Cylinders Inline, 4 Valves/Cylinder, DOHC Engine Type - 2.2 Turbo Diesel with CRDi Fuel Type – Diesel Max Power - 182 bhp @ 3500 rpm Max Torque - 450 Nm @ 1750 rpm Drivetrain – AWD Transmission - Automatic (Torque

Converter) - 6 Gears, Manual Override, Sport Mode ◆ Emission Standard – BS6 ◆ Turbocharged

Entertainment, Information & Communication Features:

Braking & Traction:

Anti-Lock Braking System (ABS) ◆ Electronic Brake-force Distribution (EBD) ◆ Electronic Stability Program (ESP) ◆ Traction Control System (TC/TCS)

Locks & Security Features: ◆

◆ ◆

◆ ◆ ◆ ◆ ◆

Engine immobilizer ◆ Central Locking - Remote ◆ Speed Sensing Door Lock ◆ Child Safety Lock

Telematics Features:

Find My Car ◆ Check Vehicle Status Via App ◆ Geo-Fence ◆ Emergency Call ◆ Remote AC On/Off Via app ◆ Remote Car Lock/Unlock Via app ◆ Remote Sunroof Open/Close Via app ◆ Alexa Compatibility

◆ ◆

Wireless Charger Smart Connectivity - Android Auto (Wireless), Apple Car Play (Wireless) Touch-screen Display GPS Navigation System 6+ Speakers USB Compatibility Bluetooth Compatibility (Phone & Audio Streaming) MP3 Playback AM/FM Radio iPod Compatibility Steering mounted controls Voice Command

Instrumentation: ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆

Digital Instrument Cluster Electronic 1 Trip Meter Average Fuel Consumption Average Speed Distance to Empty Digital Clock Low Fuel Level Warning Door Ajar Warning Digital – Tachometer

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Industry Insight

TODAY’S VEHICLES ARE COMING WITH EYES AND MOUTH SURESH BALU KAMATE

Vector Informatik India Pvt Ltd

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hat! Do vehicles have eyes and mouth? Are you kidding me? Don’t be surprised because intelligent transport systems are becoming integral part of today’s vehicles which behaves like human eyes and mouth. These eyes give 360 degree surrounding view inputs to vehicle brains i.e. Electronic Control Units (ECU’s). After decision making in brains, they let you know/ guide you by means of voice, alerts and notification via mouth i.e. voice processing and ADAS systems. Vehicle on the road talk to each other via connected features and protect you from accidents and make your driving easy. Welcome to the world of Intelligent Transport systems and we are in the space of MAN, MACHINE & AI. These systems in vehicles are providing safety, security, comfort and luxury to the owners and his/ her family. In India until last year vehicle purchase decisions were MILAGE driven and now it’s based on SSCL (Safety, security, comfort and luxury). Because of increase in SSCL based buying decision one of the major OEM in India who had a sizeable market share has its share coming down significantly in a quick time. OEMs whose vehicles have integrated systems which enable SSCL are selling like a hot cake. Some of the recent vehicle launches and sales have shown the intensity for the need of SSCL. for example ● Mahindra XUV700 got booking of

50,000 units in just couple of days’ open hours booking slots. ● MG Motor Astor got bookings 5000 within minutes.

Intelligent Systems for SSCL ● V2V System: Vehicle to vehicle communication system enables for cooperative driving and safety applications. V2V enables your vehicle to talk to other surrounding vehicles for example in scenarios of unseen road curves, roads junction crossovers and thus protect you from unintended collisions. ● Adaptive Cruise Control System: This enables your vehicle to adopt to the speeds of front vehicles and objects. ● LDW System: Lane departure warning system protect you from unintended lane change during the drive. ● SAS (Speed Assist System): We human eyes might miss out one or two road signs but SAS eyes wont and supports/ guide you for speed assistance based on road signs. ● Intelligent Headlight Control system: During night drive IHC system enables you to activate or deactivate the high beam depending on traffic and environment situation. ● FCW System: Forward collision warning system alerts you after watching and sensing that gap between your vehicle and other vehicles & objects is too close. It’s enables you to avoid probable collision

AUTHOR SURESH BALU KAMATE Technical Sales & Business Development Manager Vector Informatik India Pvt Ltd Suresh has 15+ Yr.’s of experience in Automotive domain working in the global locations (Europe, US, Japan & Vietnam) for major OEM’s & Tier-1’s. He is a recognized voice in Connected Vehicles, ADAS/Autonomous Vehicles, Engine Management & e-mobility. Suresh has expertise in developing the ECU’s from scratch to deploying them into vehicles. He Has studied Sales & Marketing at the IIM-C and M. Tech in Digital Electronics.

36 | Telematics Wire | October 2021

These are the few systems which behave like eyes and mouth of human. There are many more such system available and they are all integrated in Autonomous Driving System. These are also available as discrete systems, and they form an ADAS features list.

Influence on Business Parameters for OEM’s and Its Suppliers Apart from providing SSCL to vehicle owner’s these above systems plays important hidden role in controlling OPEX items in P&L and balance sheet of OEM’s and Its suppliers. Connected systems will always provide live information about few parts and accessories of vehicles and this enables to maintain optimum level inventory as per the needs across the supply chain. These Connected systems reduces the time and effort by updating the software over the air and carrying out diagnostics via remote. These intelligent systems provide WIN-WIN situations for customers, manufactures and its suppliers. In this way entire transportation eco system gets benefited.

Building blocks of Intelligent Systems Radar, Camera, LiDAR, IoT enabled sensors and microcontrollers/processors are the main building blocks of intelligent systems in the vehicles. Right now, LiDAR based systems are in less use over the RADAR based systems due to LiDAR few constraints on night-time and changes to environmental situations.

Language and Interaction Medium How are these intelligent systems talking to passengers in vehicle? Which language machines talks to each other? When you speak something to voice processing system ex. Alexa Auto it


processes your speech and communicates to other intelligent systems in the vehicle to do particular task or if your vehicle moving away from lane unintentionally then Lane departure warning system communicates to Alexa Auto and which intern interacts with you saying, “Hey buddy you are changing lane and do you really want to do so?”. Are you curious to know what interaction medium/language these intelligent systems use to talk to each other? Answer is simple, and it depends on vehicle intelligent systems architecture defined by standards of various OEM’s, Tier-1s alliances. To keep it simpler these intelligent systems, talk to each other over the CAN, LIN, Ethernet or combination of these communication protocols. If the connected systems are based on WLAN/WiFi they use IEEE 802.11P protocol to communicate each other, If the systems are designed for GeoNetworking then ETSI TS/EN protocol is used. If the systems are designed for WAVE (Wireless access in Vehicular Environment) then WAVE short messages or DSRC communication protocol is used for communication.

Challenges in Validating Connected & ADAS/ Autonomous Systems Reliability and dependency on this system increase based on the quality of the Connected & ADAS/Autonomous intelligent systems. To build quality systems, it requires huge effort to validate or test during the development phase of these intelligent systems. Before these intelligent systems we had seen certain number of test cases would fulfil the 100% test coverage of a particular control system in vehicle but with these intelligent systems are becoming more and more complex in nature, achieving 100% test coverage has become a challenge. For autonomous driving features validation, we have infinite number of test cases and test scenario. How do we overcome from such challenges? Innovation in ADAS & Autonomous Driving test systems from various organizations like Vector Informatik, NI, IPG, dSPACE, Ansys, Foretellix etc. have helped the validation infrastructure eco system to overcome from such challenges. Validation process and methods plays significant role and also helps to overcome from these challenges.

October 2021 | Telematics Wire | 37


Product Launch

See how RAVEN lightens the load for AV developers

RAVEN (Ruggedized Autonomous Vehicle Network) Klas launched RAVEN: an end-to-end, modular solution for autonomous vehicle (AV) and advanced driver assistance system (ADAS) research and development. RAVEN (Ruggedized Autonomous Vehicle Network) is as an open architecture solution for rapid prototyping and development of Automated Driving Systems (ADS) and Advanced Driver Assistance Systems (ADAS). It arrives with all systems integrated giving developers the equivalent of a rolling start. The modular solution eliminates the need to build cumbersome test rigs and source equipment from multiple vendors, saving time and cost. With an open and flexible architecture, AV developers can easily create in-vehicle development environments that suit their needs.

38 | Telematics Wire | October 2021


RAVEN Open Architecture

Source: Klas Group

DATA LOGGING

CONNECTIVITY

supports CAN and Ethernet interfaces, with up to 240TB of AV data storage, in a swappable cassette. Integrated compute for live pre-processing of data.

Connect in-vehicle over Wi-Fi and easily extend in-vehicle networks to the central office over LTE/5G networks. Supports SD-WAN for secure over the air access from anywhere.

NETWORKING

MANAGEMENT AND MONITORING

1/10Gbps Ethernet switch, future proofing access to the next generation of sensors.

Reduced IT effort with secure remote management and monitoring, provisioning, and over-the-air updates, with Ansible automation and Nagios support.

HIGH PERFORMANCE COMPUTE GPU support to evolve AV algorithms and train deep neural networks. Supports virtualization for the secure running of any AV software in-vehicle.

POWER Inbuilt 12VDC power distribution, eliminating the need for external power inverters.

RAVEN Modules RAVEN comes as a 19”(5U) rack-mountable enclosure that is 10” deep. The enclosure has an in-built 12VDC power distribution to power modules. AV developers can easily configure their development environments with Klas modules, or bring their own customized modules. Slot 1-3: AV R&D data logger with CAN and Ethernet interfaces Slot 4: Intel compute with virtualization support Slot 5-6: Nvidia Turing-based GPU Slot 7: LTE/5G compute gateway with Wi-Fi and GPS support Slot 8: 1/10Gbps Ethernet Switch The Klas general compute, connectivity and networking modules can be fitted with battery backups, allowing AV developers to continue to communicate with the vehicle in the event of sudden power loss. Support for customized hardware.

October 2021 | Telematics Wire | 39


Product Launch

AP1: 2-IN-1 ADAS CAMERA SmartWitness has launched an edge-based advanced driver assistance system (ADAS) camera that captures video and engine CANBUS data in a single cell phone-sized plug-and-play unit, eliminating the time, expense, and space required to purchase, install, and maintain separate camera and telematics devices. 2-IN-1 TECHNOLOGY: VIDEO AND TELEMATICS COMBINED

● Lane Departure Warning

The AP1 delivers video and

● Forward vehicle proximity

telematics in an affordable, plug-

warning

unobtrusive driver interaction ● ADAS audio alert feature provides real-time feedback

and-play device with ADAS. With

● Forward vehicle start alert

to help drivers stay safe and

fast and simple installation, the

Key Features and Benefits

alert as well as documents

AP1 is focused on the features

● 2-in-1 device works with an

that keep your costs down and

existing telematics black box or

your drivers safe, happy and

without

driving for you.

● Practical, no-frills feature set

ADAS Technology with Driver Alerts

● Front-facing HD camera

● Forward-Collision Warning

provides a 128-degree view for clear evidence of fault in accidents ● Secure, cloud-based data storage ● Free AIDE software add-on leverages AI for dramatically reduced false positives ● No driver-facing camera;

40 | Telematics Wire | October 2021

issues to fleet manager ● Fast/simple install — about 15 minutes per vehicle ● Intuitive/automated operation — very little training required ● Compact, low-profile device design Size/Weight: 122mm x 95.5mm x 15.5mm/212g AP: ARM Cortex A7 Quadcore@1.1GHz(MSM8909) GPU: Adreno 304 eMMC: 8GB SDRAM: 1GB LPDDR3


AP1 Technical Specifications

3G Bands

4G LTE Bands

US Cellular EMEA

B1, B2, B5, B8

LTE CAT4 B2, B4, B5, B7, B12, B13, B25, B26

B1, B2, B5, B8

LTE CAT4 B1, B2, B3, B5, B7, B8, B20, B28A

Bluetooth: BT4.2 (BR/EDR+BLE)

GPS/GLONASS: GPS/GLONASS/BeiDou, support

WiFi: IEEE 802.11 a/b/g/n

A-GPS

Operational Temperature: -20˚ C ~ 65˚ C

Audio Amp: D-class, 879mW, 4.2V/8 ohm

Super Capacitor: 2.7V/7F

Speaker: 23 pi, 8ohm, 88dB

Power Consumption: Max. 750mA/12V (9.0W)

MIC: MEMS, -42dBV, 59dBA SNR

Angle of View: FOV(D) 128°

MicroSD: Up to 128GB

Antenna: LTE main, LTE DRX, GNSS, Wi-Fi/BT

SIM: Nano SIM (4FF)

Image Sensor: 1/2.9 inch CMOS image sensor,

Micro USB: Yes

1080p@30fps

Warranty: Lifetime; current customers with

G‐Sensor: Digital, tri-axial acceleration sensor

an active subscription to SmartWitness Web

Input Connection: OBDII; DC 10V to 32V

Services

October 2021 | Telematics Wire | 41


Advertorial

Why tracking Engine Control Module with GPS-inspired technology can be a total game-changer? TUSHAR BHAGAT

Uffizio India Pvt. Ltd.

Understanding ECMs Engine control module (ECM) is, unarguably, one of the most intelligent components of a modern car or a vehicle. In fact, your car runs on the ECM’s ability to process information. ECM, sometimes referred to as an engine control unit (ECU) or even a Powertrain control module (PCM), is the metaphorical “brain” of any engine. Its role is paramount in the collection, analysis, processing, and implementation of data received from engine subsystems or sensors. All of this is possible because of an embedded microchip—which processes inputs from various sensors and acts on them in real-time. ECM takes values from all the sensors and then decides what to do. These instructions get carried out and functions like ignition, braking, cruise control, steering can work in order. Simply put, ECMs act like mini computers and control how well the engine functions. In addition to keeping a check on engine performance and prime functionalities, an ECM is also responsible for issuing fault codes when something goes wrong. Using data available from sub-systems and sensors, an ECM knows everything there is to know about the engine.

Collecting Big Data from Automotive ECMs Your engine is one of the most mysterious parts of your car. Even the most capable

can bring the fleet to a grinding halt. Or even worse, could hurt the passenger inside the car. Besides, these ranges are different for different car models. Here, telematics software could really help you. Get updates in real-time about any impending or existing engine issues and get them fixed preemptively to avoid expensive repairs.

Benefits of tracking your ECMs

automotive engineers won’t really know what’s happening under your vehicle’s hood without data. This is why it is important to understand and inspect the wealth of information ECMs can provide. If you are a fleet business owner or a fleet manager, you should know that a fleet management software lives and breathes by diagnostic information provided by ECMs—available, or awaiting, to be spun into limitless profits. Fleet management software can extract fault codes or diagnostic trouble codes and update you with engine failures. For instance, say your car’s engine temperature value is 105 F. Now, it is impossible to know if this value is ideal for your car’s engine or not. Should the driver stop and pay heed to this or keep driving? Sure, the check engine light on your vehicle’s dashboard is always a good indicator of any trouble in your engine—but is it enough? Critical engine temperatures mean overheating and

AUTHOR TUSHAR BHAGAT Director Uffizio India Pvt. Ltd. He is the Technical Director for Uffizio India Software Consultants Pvt. Ltd. In this role he leads the company’s technical developments, overseeing a team of software developer and sales professionals and managing the annual spend.

42 | Telematics Wire | October 2021

If you’re simply guessing your engine health or even worse—if you aren’t keeping up with regular maintenance—then you need to stop immediately! Planning maintenance schedules that work best for your fleets cannot be done without real-time data. Therefore, with the help of telematics software, you can keep track of crucial parameters that affect your vehicle’s engine health. Aspects like engine oil temperature, coolant temperature, AdBlue levels, engine speed, DTC error codes, and more can be carefully monitored. You get unlimited access to valuable insights which can be translated into fruitful engine maintenance regimes. You’ll be able to improve your engine’s health and keep operational costs low! Perform data-driven analysis and get insights into engine problems like high coolant temperature or low engine oil. Along with this, you can also get access to organized data, like reports and charts. These visual analytics help you monitor the parameters of the engine that matter the most to your business. It will not only help you understand engine faults, but also help you get an insight into engine productivity. References: https://carbiketech.com/engine-management-system-ems/ https://www.teletracnavman.com/resources/blog/engine-control-module https://www.hindawi.com/journals/ misy/2017/4395070/


October 2021 | Telematics Wire | 43


Industry Insight

The Mobility of Tomorrow ASHHAR AHMED SHAIKH

SkillShark EduTech

Introduction Transport or transportation is the movement of people, animals, and goods from one location to another. Modes of transport include air, rail, road, water, cable, pipeline, and space. The field can be divided into infrastructure, vehicles, and operations. Transport is important because it enables trade between people, which is essential for the development of civilizations. Transport infrastructure consists of fixed installations including roads, railways, airways, waterways, canals, and pipelines and terminals such as airports, railway stations, bus stations, warehouses, trucking terminals, refueling depots (including fueling docks and fuel stations), and seaports. A wellcoordinated system of transport plays an important role in the sustained growth of a country. Transport has recorded extensive growth over the years both in the spread of network and in the output of the system. Mobility is changing. Nowadays we can simply download an application, register, and use car-sharing/ carpooling schemes in many cities. Mobility is transforming the urban landscape and our everyday routines. The future of the Indian transport industry will be shaped by progressive transformations through key disruptive technologies based on Smart & Intelligent transport systems driven by Industry 4.0, Advance Communications, Data analytics, IoT, and artificial intelligence from Hyperloop to autonomous and remotely piloted vehicles. Connected – Autonomous – Shared & Electric Mobility will play an important role in creating a sustainable future for transport. It will help to achieve essential policy objectives such as tackling climate change, fighting congestion, creating economic growth, contributing to the reinventing the industrialization in the Asian 44 | Telematics Wire | October 2021

continent, and providing mobility to citizens of all ages and social backgrounds. Transport is the backbone of the economy, and the CASE should be the backbone of transport. The next immediate & important step for our country is to create value within the transportation sector, for which improving asset and productivity, reducing costs, and cutting waste is critical. This is where technology can help, enabling effective route and capacity planning, seamless linkages with allied sub-sectors, improving safety and customer experience, reducing pilferage, environmental performance, etc. Driverless, connected cars are leading the way in a new era of travel that is efficient, affordable, clean, and green. Experts predict e-mobility will transform travel in the years to come and shape the future of mobility, smart cities, and interactive communities.

The Mobility of Tomorrow The Mobility of tomorrow will be fundamentally different from what it is today. We see four major trends hanging in the automotive industry: Connectivity (C), Autonomous driving

(A), Shared & Services (S), and Electric Mobility (E). They are summarized under the acronym CASE. Automotive Industry is going through a transformation in order to take a new shape. Companies & Governments are investing in futureoriented CASE fields. All four letters revolve around one theme: how can we ease the lives of our customers and make products and mobility services as comfortable, as efficient, and as intuitive as possible. CASE is not only limited to cars but also for pursued vans, trucks, buses, and financial services. We are convinced electrification is the future. Thus we are electrifying our cars, trucks, vans, and buses. Every nation is now aiming for emission-free mobility. While working for Pollution Free Nation with EV Transition, there are different approaches leading to the same goal. Optimizing the efficiency of combustion engines, by rolling new engine generation is one way for it. The electrification of the combustion engines with EQ Boost is based on the additional onboard network with a starter/alternator. Hybridization with EQ Power and EQ Power Plus with the latest lithium-ion technology and intelligent battery operating system is


a productive way to control emissions. The third way can be the emission-free powertrains with battery electric vehicles and fuel cell vehicles.

Connected and Autonomous Vehicles Connected and autonomous vehicles are likely to become a common feature on roads within the next decade, along with the increased use of electric and shared vehicles. Collectively, Connected – Autonomous – Shared & Electric Mobility will have a major impact on the transport network. CASE Mobility will introduce an era of unprecedented change. Therefore, it is vital for Nations to consider how to manage and take advantage of this new technology. CASE will present many opportunities, from making our roads safer to reducing emission levels, as well as the added implications of increasing job creation.

Advantages of Connected Autonomous Shared Electric Mobility Product Evolution Connected Vehicles and Electric Vehicles are deeply connected. If EV Ecosystem has to be created, then

connectivity is the basic ingredient for it. Connectivity helps in Understanding the Product Development, Operation efficiency of the Product, Creating Structures for the EV Ecosystem. Taking an example of the very basic form of Connectivity-Telematics: With Matrix coming out of Telematics Data, we are able to understand the behavior of motor, controller, and battery. Using demographics, we can limit various parameters of current-voltage depending on temperature, acceleration, retardation. Thus product development can be iterated and optimized. The application-based product development approach is feasible with telematics & connected vehicle. If the vehicle is to be used for Food Delivery, Payload, Delivery timing, Environmental Condition, Ride Frequency, and other assessments can help in product development. Mode Selection (City Mode, Town mode, Highway Mode, Hill Mode, etc.) option can also be given depending on secondary data collection, analysis & calculation.

Operation Efficiency Operational efficiency is the key point of EV. EVs will get adopted only when there

is a business case around them. Range Anxiety and Cost versus Utilization are the two-point of concern with regards to EV. Range Enhancement is very important if we want to have EVs as all-purpose Vehicles in the coming time. Range depends on various parameters of the power train. Motor Performance, Battery Capacity, Voltage Current Fluctuations, Controller Configuration, etc. How is the vehicle driven is one of the major points in considering vehicle performance in terms of Range? How driver is using an EV impact 20% of its range. The range has two units. One is the range inherently built in the vehicle through a power train, second is the range that gets deployed on road because of driving behavior. Driving Behavior is one of the major parameters impacting range. A fleet operator having an electric asset would be expecting operational efficiency. And operational efficiency can be improved by analyzing perfect driving behavior specifically for an EV. Using Connectivity and Telematics we can access speed, acceleration, deceleration, frequency of stops, dynamic conditions, gradient torque and speed, current, and Voltage. These parameters will be helping in framing driving behavior. And perfect driving behavior

Autonomous Vehicle System Source: Machine Design

October 2021 | Telematics Wire | 45


will enhance the best possible range. EVs are at least 1.5 plus times expensive than ICE Vehicles. We look at expensive assets by utilizing them more. EV utilization can be increased with proper driving, charging and operation. Utilizing it properly will help in extracting potential benefits.

Structures of EV Ecosystem When we are focusing on the adoption of EVs, we must be well prepared for the execution. In India’s with great support from the Government end, companies are building new EVs to roll out them on roads. But we must be prepared with prime factors required for smooth functionality. EV cannot sustain alone without the presence of a complete EV Ecosystem. We need Vehicle Charging Infrastructure, Vehicle Maintenance, Service & Troubleshooting Centers, Skilled Workforce, Effective EV Product Market, Effective Economic Models & Services regards to EV, Infrastructure for R&D, etc. a) Charging Infrastructure On the basis of the application of an EV, driving behavior, and telematics data analysis, charging infrastructures can be made. b) Remote Diagnosis & Trouble Shooting Centers With Connected, Automated, Shared, Electric Vehicles it is very convenient & easy for diagnosis as continuous parametric monitoring takes place. Also, establishment on Trouble Shooting centers with respect to performance matrix, ride length, charging graphs will be an easy task with connected vehicles. c) Insurance Facility Based on data report of EV components,

High Definition Mapping Source: Tech Crunch

performance matrix, and dynamic elements, connected vehicles will be aiding insurance companies in confidently ensuring EVs. d) Finance Facility The biggest challenge for EVs is getting finance because nobody knows the performance statistics & residual/ resell value of an EV. Companies are hunting to fetch data of battery & motor performance after intermittent Cycles. This data is very necessary in fixing risk variables & depreciation schedules. Range versus Battery Cycles, Payload versus Range, Motor Efficiency Curve, and Battery Efficiency Curve- these data can be fetched only through a connected vehicle system.

AUTHOR ASHHAR AHMED SHAIKH

Co-Founder & Director SkillShark EduTech

Experienced Team Lead with a demonstrated history of working in the EV Development & EduTech Industry. Skilled in Techno-Management & Product Development. Strong Technology professional focused on Mechatronics, Robotics, and Automation approach. Co-Founded an EV start-up offering EV conversion kits and services.

46 | Telematics Wire | October 2021

e) Second Life for an EV Based on fetched data with respect to EV Performance & Operating Conditions, Second Life for the components or an EV can be provided with resale or reuse.

Conclusion Indian geography represents a multipurpose transport network. Highways, railways, airways, and waterways feature as its principal transportation systems in India to transport goods and people in, around, and across the country. Transportation in progressing countries is of great gravity because of its contribution to national and regional economic, industrial, social, and cultural development. Deficient transportation facilities detain the process of socioeconomic development in a country. Especially in a heavily populated country such as India, managing different aspects of transportation is a difficult task. The mobility of tomorrow needs advanced creative design, shared intelligence, systems engineering and multi-domain collaboration. Connected Autonomous Shared Electric vehicles will be disrupted in the future mobility ecosystem.


October 2021 | Telematics Wire | 47


Industry Insight

The importance of Automotive Ethernet Switch & Network testing for Connected Autonomous Vehicles THOMAS SCHULZE

Xena Networks

I

t is now commonly accepted that Ethernet is the new de facto standard for in-vehicle communication and certainly in Connected Autonomous Vehicles. Also, new Electric Vehicle OEMs are relying heavily on Ethernet for in-vehicle communication backbones as they are in the privileged position of designing and engineering their vehicles from scratch. The immense amount of data generated by sensors, cameras, radars, lidars and external data flows like V2x, Telematics and Infotainment simply cannot be transported on classical automotive communication systems. There are powerful incentives for improving existing technologies like CAN (1Mbit/s) to CanXL (10Mbit/s), but the advantage of having most of the vehicle communication based on the same technology (Ethernet) is clearly driving the growth of Automotive Ethernet. It is also commonly understood that the traditional technologies will have to coexist with Automotive Ethernet for

Figure 1

48 | Telematics Wire | October 2021

some time, especially for data rates below 10Mbit/s. This will further drive the need for communication gateways between Ethernet and other technologies. So the situation we have looks like this. Ethernet is a well-known communication technology from the telecommunication and information technology industry. It is also used in various other industries like industrial automation. It is mainly standardized in the IEEE Organization and follows the OSI layer model of communication. For Automotive applications, various other organizations are involved such as the OPEN Alliance. Currently most of the technology standardizations from the Automotive industry like the OPEN Alliance will be integrated into IEEE standards and test specifications will be integrated into ISO standards. Traditional Ethernet uses different types of physical transmission lines like twisted pair copper cable in an unshielded and shielded variant with 4 to 8 wires. But it can also be used on fiber cable, coax

cable or even in a wireless RF variant. In the past, Ethernet was mainly a BUS architecture like CAN or LIN, and we see new variants of Ethernet like 10BaseT1S/L which is again using the BUS architecture. Today, most of the Ethernet architecture is based on the switching architecture. The main difference between Ethernet and Automotive Ethernet is the physical layer as Automotive Ethernet only uses a 2-wire unshielded twisted pair cable which is like the cable used for CAN. This reduces the weight of the Ethernet cabling which improves the assembly process significantly. The core problem with Ethernet in systems like in-vehicle networks where safety is a top priority is that most applications offer better ways of prioritizing data frames in the setup. Standard Ethernet networks use the “best effort” principle, which means the network components forward a data frame from A-to-B on their “best effort”. Within in-vehicle networks we must make sure that data frames relevant to safety


are handled with the highest priority, the smallest delay, and maximum reliability. Different network transport protocols are used to enable these features, and the most famous of these is the “Time Sensitive Networking” protocol suite. In this article however, we want to focus on the most fundamental devices in any well-performing Ethernet network: the Ethernet switches! Modern Ethernet networks use switches as the core backbone elements, which makes them the most important components in any robust system. Switches usually operate at the OSI layer 2, the data link layer, and can be found in hundreds of different configurations based on the number of ports, different port speeds and supported data link layer protocols. Also, the network architecture with switches allows multiple variants of how a switch behaves and performs in a network. There are multiple challenges in the process of designing, engineering, and setting up an Ethernet network. Here is an example of an in-vehicle network with an Ethernet backbone (Figure 1): The network includes different switch configurations and switches are part of different device types in this setup. They are part of Domain Controller, Gateways, and a Telematics Control Unit. We can also see that the switches have different amounts of ports, different speeds, and also that they are part of different network architectures. What we cannot easily see in this graphic is which kind of Layer 2 protocols they are using. We assume that in this setup we only use standard Layer 2 protocols like ARP, MAC, STP and VLAN. Based on this assumption, it is fine to ask the fundamental question: “what switches do I have to use from which vendor and how do I test them?” Before we dive into the details of testing, let’s answer the basic question of why “switch testing” is important to ensure a well performing in-vehicle network. As mentioned earlier, switches are the backbone of an Ethernet network, and due to the architecture of Ethernet networks, one non-performing switch out of dozens in the network could cause a major communications failure. While not every application message on the network will go through every

Figure 2

switch in the network, a misconfigured or poorly chosen switch can create a flood of unnecessary traffic across the entire network, possibly impacting the “good” communication messages. This kind of “bad” traffic is called a “broadcast storm”. In modern in-vehicle networks we will find multiple ECUs from different vendors, with multiple switches also from different vendors. The interoperability of these switches and the common usage of the same configuration parameters are essential to get an Ethernet network up and running. We need to acknowledge that the switch functionalities are as important as the different functions of an ECU or the connected end-devices. Switch & network testing is the functional testing of the communication backbone additionally to the functional testing of the core vehicle applications. Now let’s focus on the most important factors when selecting and validating switches for in-vehicle networking: ● Performance & Interoperability: nonblocking architecture, average delay, average jitter, and start-up time. Most of them (and even more) are available in pre-defined test suites like RFC2889 and RFC-2544. ● Security & Robustness: VLAN separation, broadcast storms, redundancy There is also a clear proposal for how to integrate testing in different development stages and production start-up phases (Figure 2). Which kind of test tools are required for switch & network testing? As we are talking about test & validation which

needs to be reliable and reproducible, a traditional “software-only” solution is not recommended as the additional hardware required could be different for the test engineers involved, and the performance of the hardware is not predictable for the test software being used. Also, a switch or network test usually requires multiple test ports to perform the needed test cases. The required test tool should therefore combine dedicated soft- & hardware where the test management and analysis are done with the software and the test execution is done by the hardware (and embedded software). The test tool should also natively support the different kinds of interfaces, related to speed and physical layer, to avoid using additional components like media converters or adapters which potentially could influence the test results. Example test tools are shown in (Figure 3). Now, let’s look at the different characteristics and potential additional requirements of the five stages of testing listed in Figure 2 above.

Vendor Selection Vendor selection is a process that should achieve two goals: ● Validate that a vendor can meet the minimum performance metrics ● Let you compare how one vendor performs against another The test requirements and test cases required for these two goals are very general, and the focus is to rely on reproducible test results during the validation of different switch configurations and different vendors. October 2021 | Telematics Wire | 49


Figure 3

Every test should be 100% the same as the one before. To make these tests as transparent as possible, it is recommended to use pre-defined test suites like the RFC2889 “Benchmarking Methodology for LAN Switching Devices” and the RFC2544 “Benchmarking Methodology for Network Interconnect Devices”. Another reference could be the Y.1564 “Ethernet service activation test methodology”. These collections of test scenarios can be adjusted and customized to the specific use case and can be re-used for multiple tests during a validation cycle. Using these test suites will guarantee reproducible and reliable test results.

Device Integration What is “Device Integration”? Research, development, and engineering use different terms for product development stages so let’s define the stage after selecting a key component such as a switch as the “integration of this key component into a device” like an ECU (Electronic Controller Unit) or DCU (Domain Controller Unit) shown in Figure 4. Another description of this stage could be the stage of “Sample A” i.e., a prototype with limited functionalities. The purpose of device integration testing is to test the switch device against its own test specifications and repeat the testing against generally available test plans like the RFCs mentioned above. Industry-specific test specification are usually integrated into this phase of testing. An example of a broadly used 50 | Telematics Wire | October 2021

test specification in the automotive sector is the OPEN Alliance TC11 test specification. It includes test cases from the RFCs as well as adjustments and additional test cases that meet specific needs of in-vehicle networking devices.

Regression Testing Once a device moves into a more general and broader development stage, continuous regression testing is needed in parallel with the engineering process. At dedicated milestones a pre-defined test plan will be executed, and the engineering milestone will be validated. The main purpose is to identify any effects of the implementations on the key functionality of the ethernet

Figure 4

switch. The test plans for regression testing are possibly different for each engineering task, but it is important that these test plans are not changed during this stage to avoid non-comparable test results, and the risk of potential bugs not being identified. Regression testing is usually fully automated for the engineer – ideally there should only be a “start” button and a “pass/ fail” result. If a test fails, a detailed report should be generated by the test tool. From the Automotive perspective we would describe this engineering stage as “Sample B”: fully integrated hardware with partially integrated software or software under development. At this stage, the Ethernet switch functionalities are usually already fully integrated as a hardware-only part, but with some configuration options. As the overall development of the software and its configuration can still influence the performance and functionality of the switch device, switch regression testing is mandatory in this stage.

Hil System Integration The following development and testing stages are for the system integration


and hardware in-the-loop testing. This is where the single device will be integrated into the physically available or partially simulated full system, like the Ethernet backbone, the ADASDomain, Infotainment-Domain or even the whole vehicle’s electronics. The related Automotive development stage can be described as “Sample C/D” fully functional hardware and software or production grade. The main purpose of the HiL testing is to validate the system functionality. But why do we need to test the switch or even the network functionality once again? During the “vendor selection” stage we already validated the interoperability of the switch integrated in the device under development. However, within the whole system there is a high possibility that some ECUs are from third-party vendors, and we cannot guarantee that these devices are fully compliant with the general switch and networking specifications. Also, the behavior of single device integrated into a network can be different compared to a standalone test of the switch functionalities. It is critical for the main HiL test process to ensure a 100% working and performing communication infrastructure made up of the switches and the network built with those switches. If this isn’t done, the troubleshooting will be much more difficult as it will be necessary to find out if the failure was caused by an application error or a network communication error. The most efficient way is to validate the communication layer first so you can exclude the network in any subsequent troubleshooting. The required test plans include a subset of the test cases executed in earlier stages, together with some new test scenarios. These are mainly related to core switch and network performance metrics, like end-to-end performance (simulation of the Ethernet end devices), network impairments (jitter, delay, and packet loss) to validate redundancy and robustness and Quality of Service (QoS) testing to validate the overall network functionality.

Production Line Testing The final stage in the development and

Figure 5

test process is the start of production (SoP) which usually also includes a set of devices bring up tests. As key functions are validated in this process some of the Ethernet functions need to be validated as well. After providing the soft- and firmware, the device must be tested to verify that the switch is configured correctly, and if the hardware specifications match with the requirements. Typical test scenarios are interface speed check, internal loopback packet loss test, Ethernet switching performance check and basic Quality of Service analysis. The key characteristics of the test station and setup are: High quantity of simultaneous device testing with a quick turn around time. The tests need to be fully automated with simple pass/fail criteria and integration into the quality documentation process. An Example of a Production line test setup is shown in Figure 5.

Conclusion The most important take away should be that Ethernet as the “new” network communication technology implements a second layer of key functionalities to the devices and the system. The “Network” is no longer just a wire, like with CAN. Instead, the network is a set of switches (or other active network components like routers) plus the wires. This also means that these components should be tested as separate functional components. We should not assume that if we can validate the ECU functionalities as “Pass” that the switch in the ECU will also have a “Pass” if it is connected to the system network, as we potentially now have all communication traffic going through this switch (ECU) and not only the messages belonging to this device. Switch and network testing must be an integrated test procedure in all development stages to ensure the expected network communication quality.

AUTHOR THOMAS SCHULZE

Senior VP Sales & Marketing Xena Networks Thomas is responsible for Xena’s global sales & marketing activities, and business development of Xena’s Automotive Ethernet and Time Sensitive Networking (TSN) products. With over 15 years of professional experience in telecom & IT testing, his credentials are impeccable.

October 2021 | Telematics Wire | 51


Industry Insight

Getting closer to your customers in a new connected car world How VLBS makes in-car transactions easier and faster through comfort and trust EVGENY KLOCHIKHIN

Sheeva.AI

I

n-vehicle transactions in the connected car sector will become a larger slice of the growing contactless payments market, growing from $63 billion in services in 2020 to an estimated $181 billion in 2025. In India alone, the UPI digital payment system recorded 3.7 billion transactions worth nearly $65 billion just in 2021, driven by the necessities of life under the COVID-19 pandemic. At the same time, city governments around the world are looking at digital payments streams - from parking, tolls, and other points-of-service - as a less risky basis for securitization of revenue streams to fund other infrastructure projects, versus manual and less predictable collection of cash or credit cards fees. The coming focus on resilient infrastructure -- from COVID, climate change and so on -- could see $1 trillion in structured finance issuance, needing predictable and verifiable revenue streams to backstop it. Enabling more routine transactions seems a cold phrase for something that may be so personal to the end consumer. Those transactions that occur in and around our cars, as we move around streets, doing other things we value – transactions within transactions, if you like – are even more fraught. What is a “transaction within a transaction?” You need more gas to get to the hospital because your loved one is suddenly ill. You’d like an extra shot of espresso in that to-go drink because it’s been a long day at work. You need to park now and get this kids’ soccer team out of your SUV because you’re already a bit late. Location is the key to navigating this 52 | Telematics Wire | October 2021

intimacy. Vehicle location-based services (#VLBS) unlocks your physical location with the precision necessary to make these transactions quicker, easier, and more frequent, with better value added to consumers as well as to the retailers, financial institutions, and government agencies on the other side of these transactions. With 5G deployments and inexpensive cloud resources available to connect billions of devices, including cars, and as we close in on level 5 autonomy where drivers become front-row attendees on the commute to work, more time and consideration will be given to these transactions, vehicle technology itself will improve. As debate continues around the timing of L5 autonomy, VLBS isn’t waiting on this to generate the use cases for in-vehicle transactions. We already know what we buy in and from our cars, whether it’s a toll bridge crossing or a take-out sandwich. As the underlying vehicle tech evolves,

it’s becoming dependent on the built ecosystem to enable VLBS. Or, to mangle a popular movie phrase: “If you build the ecosystem, they will come.” The good news is: the ecosystem is ready now. VLBS will enable the opening innings of the growing connected and autonomous vehicle marketplace. Transactions are part of a broader discussion on the future of the automotive sector itself. While your choices in picking a vehicle for your needs or lifestyle are the result of a century’s worth of marketing around the purchase of what is often called the second most valuable asset the average household will ever purchase, the simple truth is, at its core, a car is a tool you use in everyday life. Despite the messaging of Madison Avenue, it’s far more akin to a good cooking pot than a house. It’s a depreciating asset that helps you do things – go to work, pick up the kids at school, help in the moving of groceries you need, and so on. It’s a container of time.


The morphing of the car-as-asset to car-as-service is built on breaking down the brick of technology that sits in your driveway. It began in the mid-1990s, with the advent of GM’s OnStar. At first, the OnStar connectivity offering was a premium product, because the underlying tech stack – including communications and positioning – was nascent and expensive. As GPS and cell service covered wider swaths of territory, the service got cheaper and penetrated almost the entire GM product line. Starting in the mid-2010s, when level 5 autonomy first started garnering attention from investors, the promise of your car becoming an office on wheels led to some useful and some not-so-useful business models. While some VCs saw rolling playrooms or cocktail bar, the car was becoming a mobility commodity, something more like a commuter train than a 21st-century horse-drawn carriage. But for an industry that was “pure hardware” well before the tech sector defined it, there was a lack of understanding of the intimacy and motivations of human transactions in this commuter-train-like setting, from the urgency for some realtime grudge purchase (buying a ticket to a certain destination on a train leaving in a few minutes) and to the ingrained personalization of others (have that dinner for 4 ready to go at my last stop so I don’t have to cook)

How we got here: Trust and a sense of place To see where vehicle location-based services (VLBS) are going, let’s take a look back at how digital commerce – from the first days of web-based transactions when Amazon was an online bookstore, to today’s more seamless mobile commerce and payments ecosystems – has evolved from its beginnings. There are three core enablers of digital commerce: location, identity and presence, and ubiquitous notification, dating back to the first moves on commerce on what became known as the Internet in the 90s. The first generation of digitally enabled transactions – for example, via the auction website eBay -- focused on identity and presence. Where you were was known:

in front of a connected computer, likely at home or at work. You “went to” the Internet, rather than it coming with you everywhere. What was key to eBay was who you were. That meant validating how much a risk you posed to their community if you didn’t operate fairly. This was a big comfort level to leap for both sides of a typical retail transaction. This led first to new entrants creating that comfort or trust behind a brand, but often without the retail logistical savvy to deliver. By the end of the early 2000s, the world saw the battle as “online vs. bricks and mortar.” Established ticketing retailers like IRCTC took their brand online, while commoditized categories like books allowed an entrant like Flipkart. Enter the next generation of digital commerce: mobile commerce. The advent of the smartphone placed a computer in everyone’s pocket. Tying this “terminal” to the user across an endless number of possible locations meant presence and identity took a back seat to location. This enabled the first location-based service offerings, as well as loyalty apps designed to enable impulse purchases. Starbucks not only knew who you were, what you liked, and how you liked to pay via their app, but could see, within several dozen meters, where you physically were and could prompt afternoon coffee breaks for you with loyalty rewards. This was the dawn of ubiquitous notifications, the nudges to get you to buy something because you’re nearby. But nearby was often not near enough to trigger an impulse buy, or, like coupons or spam email, it became easy to ignore.

Human behavior is conditioned to buy candy waiting in line at checkout, but there aren’t candy displays throughout a grocery store where other lines could happen as you wait for service. It’s about timing and proximity. Some “grudge” purchases -- like entry tickets or parking fees -- were not really simplified over the current way of completing those transactions. That’s because the devices used for these transactions couldn’t tell who you were standing exactly, and what you really wanted to do in the moment, even though, to an outside human observer, it seemed obvious that you were parked beside a gas pump or backing into a parallel parking space. Opening an app, booking a parking slot in advance and time needed, and enabling a payment transaction does seem any faster than swiping that card at a POS terminal or simply handing over the cash.

Getting comfortable: The right time in the right place VLBS tech like Sheeva.AI levers everything that’s been learned about mobile commerce and brings it into the car, where you have a precise need for that transaction – buying gas, paying a toll, buying lunch – while it knows where you physically are – which means, gas pump or takeout window – to within 2 meters versus 3-8 meters with standard GPS. The use of APIs (Application Programming Interfaces) to interact with underlying payment, loyalty, or asset management applications makes this October 2021 | Telematics Wire | 53


Transactions are part of a broader discussion about the “future” of the connected or autonomous vehicle in everyday use. To get comfortable with transactions in the car, they need to feel like they belong on the ride, not just time spent scanning your phone while waiting in line. seamless to the end-user. By using APIs to access the underlying application’s data or use its functionality, it allows greater speed of transaction while building on the trust and behavior already known to the end-user. It gives them comfort the

transaction was secure despite the fewer swipes, button pushes, or whatever may have been needed before. What’s critical is the comfort level needed to move the decision point for the end customer, even though the contracts implicit in these transactions seem routine and safe. Even pre-Internet, the idea of swiping a credit card yourself versus handing it to an attendant required a new layer of trust. Moving those transactions online, without goods in hand was another level of trust upward. Then, goods that needed more interaction or that could spoil - like vegetables or clothes – took another layer of trust. Leaping from these purchases to suggested transactions took even more faith and trust. While Starbucks grants app-based users rewards points for every purchase and its app remembers how they take their latte, how does it know I need a latte at 2:15pm, when there’s a discount waiting for me if I scratch my caffeine itch? Transactions are part of a broader discussion about the “future” of the connected or autonomous vehicle in everyday use. To get comfortable with transactions in the car, they need to feel like they belong on the ride, not just time

spent scanning your phone while waiting in line. At the gas pump or EV charging station, less time spent and more accuracy wins. Why convey the fueling type & amount to the operator on the pump if I can acknowledge one query on my incar system? Knowing how many more kilometres of energy you have remaining, and what’s coming up down the road to manage the timing of that next fuelling stop so you can maybe take a break, is also an important context for a driver. For tolling, acknowledgement of a correct transaction while I move at highway speed is all I want. With parking, I’d like to be pulling into a spot while a notification suggests I’ll need 90 minutes of parking time for this lunch meeting. I click once and I’m on my way. And if you are the seller, think of what you gain with ease of use, proper context, transparency, and efficiency of these transactions. Sheeva.AI estimates savings of 200+ seconds, or about 50% of the typical time for a transaction, at a gas pump fuelling stop. To see how this all fits together, keep in mind that Google’s research shows people will abandon web pages that don’t load in 3 seconds, and retailers’ data shows that offers of price cuts when an impulse item has captured the mind’s eye leads to high sales conversions. Imagine being able to capture the driver’s “mind’s eye” while they are still inside the car, before they even arrive. Once there, they can also cut transaction times in half. As well, retailers can gather critical data on customers’ needs and wants, with no further interactions needed from them.

It’s not about the hardware For transactions leveraging VLBS, both sides of the transaction have very different hardware concerns. For the retailer, city parking authority, or asset manager collecting the payment, with the promise of faster activation, higher throughput, and more customers, the question is how much upfront capital is needed to make my current “near-smart” technology into something VLBS-compatible? Who will service this tech and what are other ongoing costs? 54 | Telematics Wire | October 2021


Free hardware isn’t enough to convert these groups. New hardware inevitably needs tending by someone on the retailer’s team. Take a look at the number of tablets - one per third-party food delivery firm - crowding the cash register at restaurants because each delivery firm wanted to own the ecosystem. The hassle to staff for the incremental rupee in revenue from an extra customer often isn’t worth it. For the consumer, they feel they already have the answer in their pocket: Their smartphone. The seller, too, has likely often spent money developing an app to grab attention and gather data that uses that same smartphone platform. Isn’t that good enough? Smartphones are powerful ubiquitous tools, like your car. But VLBS would leverage consumer-facing apps that continue to build on the retailer’s relationship via gamification and rewards that already exist. How many points do I have today? What deals will I get versus the guy in the car next to me? VLBS also speeds up and simplifies the underlying transactions to let the app focus on building a richer relationship with the customer. And VLBS technology is ultimately a software solution that bolsters the

mobility-as-a-service platform that automakers and fleet operators envision. There is no special hardware infrastructure needed to power VLBS adoption aside from what’s in the vehicle. Nothing else needs to be built on either side of the transaction - no special transponder equipment, no updates to existing retail infrastructure, no RFID sensors. Over-the-air updates to the vehicle on-board systems mean it’s less about membership in “one club” fenced in by hardware requirements, and more about managing ease of use of memberships in every “club.” As the car moves beyond a mobility platform to a new transaction portal, making the driver’s or rider’s experience easier and richer is the ultimate goal. That means higher engagement for the end consumer, which means greater

insights for auto manufacturers, retailers, and other service providers. More and more, this experience will condition the purchases, leases, or rentals of tomorrow’s vehicles. Saving them time and grief on everyday transactions will be a key differentiator -- the very same differentiator that drove the growth and success of smartphones today. References https://www.marketsandmarkets. com/Market-Reports/connected-carmarket-102580117.html https://www.indianweb2. com/2021/10/upi-records-365-bntransactions-worth.html https://www.spglobal.com/_ assets/documents/ratings/ research/100048329.pdf

AUTHOR EVGENY KLOCHIKHIN

Founder and CEO Sheeva.AI Evgeny Klochikhin is Founder and CEO of Sheeva.AI, the API platform for connected vehicles, enabling large-scale Vehicle Location-Based Services (VLBS) using patented sub-2 meter geolocation to automate in-car payments for parking, tolls, fleet management, and other services.

October 2021 | Telematics Wire | 55


Connected Vehicle

ZF becomes a full supplier for autonomous shuttle systems ZF is expanding its range of products for autonomous and electric shuttle systems. With immediate effect, the Group is not only offering the shuttle vehicles themselves, but also all the supplementary services required for the planning, implementation, operation, maintenance, and repair of autonomous passenger transport systems. ZF is directing its offer to cities and urban mobility operators to accelerate the expansion of this important mobility option. ZF shuttles can already solve many acute traffic problems today, as they get people from A to B faster and reduce the number of passenger cars as well as traffic-related emissions in metropolises. In addition, the shuttles facilitate the connection of rural areas to urban centers.

Enterprise collaboration with Microsoft brings connected car technology to rental, commercial & fleet vehicles Enterprise Holdings is working with Microsoft to bring connected car technology to Enterprise’s car rental, exotic vehicles and commercial truck rental fleets in the U.S., and soon the U.K. and Canada. Enterprise has already implemented this technology for hundreds of thousands of vehicles with as many as 350,000 vehicles set to be connected by the end of the year. Long term, Enterprise is positioned to fully convert its fleet to connected vehicles over the next five years. Enterprise Holdings is using Microsoft’s analytics technologies to gain insights from connected vehicle data that its fleet of vehicles generate. This process ultimately streamlines the rental process for consumers while creating efficiencies within the business.

Wejo launches Wejo Studio, for connected vehicle data At MOVE America, Wejo Limited unveiled Wejo Studio, a web-based SaaS platform that analyzes data from millions of connected vehicles and translates billions of data points in near real-time into game-changing traffic and journey insights for all business users to leverage. Organizations—from public sector transportation departments to real estate companies to fleet and logistics companies and beyond—can unlock a deeper understanding of mobility trends, enabling them to make smarter decisions faster, innovate and solve problems more effectively. With Wejo Studio, organizations can gain insights and unlock the powerful value from CVD easily and without the cost of managing bigdata or required technical capabilities. Wejo is continually expanding the ways it allows access to insights queries that run over such a large and complex data asset. Wejo Studio’s model aligns with those plans, providing insights to customers rather than the source data itself. It offers standardized traffic and journey visualizations across several themes tailored toward a broad range of different industries and use cases

Applied Information granted patent for TravelSafely connected vehicle smartphone app to help prevent crashes and improve safety in school zones Applied Information, Inc. announced that the U.S. Patent and Trademark Office has granted the company a patent covering key aspects of its TravelSafely connected vehicle (CV) smartphone app which can alert drivers and vulnerable road users of potentially dangerous situations. The patent also covers the unique ability to determine what lane a vehicle occupies and how that relates to the traffic signal’s phase, for example knowing if the vehicle is in a turning lane and providing a “Get Ready for Green” message for that lane. Additionally, the app calculates the trajectory and velocity of the vehicle in relation to the traffic signal to warn of potential red light running.

GENIVI Alliance rebrands as Connected Vehicle Systems Alliance The GENIVI Alliance, a collaborative community developing open standards and software for in-vehicle systems, announced its organizational rebrand to the Connected Vehicle Systems Alliance (COVESA). The new brand signifies the Alliance’s evolving technical focus to connected vehicle systems including in-vehicle, on-edge and in-cloud services, interfaces and data exchange. COVESA will expand upon GENIVI’s strong foundation of a vehicle signal specification and vehicle to cloud connected services and encourage members to introduce projects that deliver specifications, open source licensed software and related materials that equip the industry with useful assets for commercial solution development.

56 | Telematics Wire | October 2021


Electric Vehicle

StoreDot reveals its silicondominant technology applied in extreme fast charging (XFC) cylindrical cells The company demonstrated the prototype 4680 form factor that is fully charged in just 10 minutes. StoreDot’s extreme fast charging cylindrical cells utilize a 4680 format, the one increasingly favored by global carmakers, and have been in development for over three years. Pioneering work for these breakthrough technologies was kicked off at Warwick University in the UK with collaboration with StoreDot’s strategic partner – BP. It has been further developed harnessing experts from across the globe. The work is covered with five patents in the area of cell design and uses StoreDot’s continuous tab technology. Such cell design increases throughput and addresses safety and performance issues typically associated with the hard case structure of cylindrical cells. Testing at StoreDot facility has shown promising low levels of internal resistance. Cylindrical cell samples are now ramping up the production lines at EVE Energy, StoreDot’s manufacturing partner in China. The technology delivers a 50% reduction in charging time at the same cost, in both pouch and cylindrical cell forms. Both formats are undergoing scale up process at EVE Energy and will be ready for mass production in 2024.

Fluke FEV100 Electric Vehicle Charging Station Test Adapter reliably tests EV charging stations without an EV In North America Fluke announced that its FEV100 Electric Vehicle Charging Station Test Adapt-er reliably tests EV charging stations without an EV. The new Fluke FEV100 Electric Vehicle Charging Station Test Adapter tests the safety and performance of level 1 or level 2 electric vehicle AC charging stations (EVSEs) with type 1 connectors. The Fluke FEV100 features: ● Protective Earth (PE) Pre-Test to test for dangerous voltage in the earth; ● Control Pilot (CP) for vehicle simulation, eliminating the need for an electric vehicle to test the EVSE; ● PE and CP error notification; ● Ground Fault Circuit Interrupter (GFCI) testing to ensure user safety; ● Voltage, waveform, loop impedance, and resistance testing; ● Connectivity with other Fluke test and measurement tools to perform additional tests, such as viewing the maximum available current and Control Pilot signal analysis.

Farasis Energy reports 25% energy boost for EV Batteries with SCC55, a silicon-carbon anode manufactured by Group14 Technologies Farasis Energy announced a significant performance milestone for EV batteries featuring lithium-silicon technology developed by Group14 Technologies. Farasis claims that in the n cells built and tested by Farasis utilizing Group14’s flagship silicon-carbon anode material SCC55™, the company has achieved an increase in energy density that would enable them to reach 330 Wh/kg in typical automotive cells with more than 1000 charge-discharge cycles. The battery EV cell will have a volumetric energy density of 750 Wh/las against “Traditional BEV lithium-ion batteries using graphite for anode materials which typically reach 260 Wh/kg energy density.

New battery laboratories: Volkswagen takes the next step towards developing and producing own battery cells

Volkswagen Group Components opened one of the most modern laboratories for cell research and development in Europe in Salzgitter. Thus, the company is further expanding its expertise in battery technology and taking the next step towards developing and producing its own battery cells for electromobility. From 2025 onwards, the Volkswagen unified cell is scheduled to roll off the production line in Salzgitter. Future plans include research by team of about 250 experts to conduct research in the areas of cell development, analytics and testing in a total of four laboratories.

HEADLINES ● DESTEN unveils the EV ultra-fast charging technology for Indonesian market ● ElectReon signed an agreement with Dan Bus Company to expand its wireless charging network ● Canoo and AVL partner to build proprietary software for EV safety features ● ABB launches the fastest electric car charger ● Dubai Taxi and BluWave-ai launch innovative partnership for AI-enabled taxi fleet electrification and optimization ● Volvo Buses launches new global electromobility offer ● E.ON and Volkswagen launch fast charger with storage battery

October 2021 | Telematics Wire | 57


Mergers, Acquisitions & Alliances

Automotive and Radar joint venture bring the only fully integrated ultra-short range sensor to market Tier 1 supplier ADAC and radar technology provider Ainstein announced a new partnership as RADAC. RADAC serves to offer the only integrated radar proximity sensor built from the ground up. Furthermore, the RADAC team is currently working on proximity access, object and blind-spot detection automotive sensing projects for markets around the world. RADAC’s ultra-short-range proximity sensor focuses on three core elements that reduce the time, cost, and communication required for integration of other current technologies on the market: ● Contactless Activation: Configurable presence detection or gesture recognition. Selectable user preferences. ● Reliable Recognition: Two feet on the ground. No unsafe kicking motions. Performance in all environmental conditions. ● All-in-One Sensor: Customizable programming for access, power opening, obstacle detection and parking assistance.

Valvoline and Cummins announce renewal of longstanding marketing and technology partnership Valvoline Inc. and Cummins Inc. announced a five-year renewal of their longstanding marketing and technology partnership agreement. Under this renewal, Cummins will endorse and recommend Valvoline’s Premium Blue™ engine oil for its heavyduty diesel engines and generators and will sell Valvoline product through its multiple channels worldwide. Additionally, Cummins’ plants across the globe will use Valvoline-supplied lubricants and oils in day-to-day operations. In addition to their strategic partnership and ongoing, collaborative product and technology innovation, Cummins and Valvoline have formed numerous joint ventures around the world focused on the production, distribution, and marketing of lubricants, grease, and allied products.

58 | Telematics Wire | October 2021

Baidu opens robotaxi service in Shanghai with Apollo Go ride-hailing platform Baidu announced that it will begin public testing of Apollo Go in Shanghai, marking the fifth city where passengers have the ability to trial the robotaxi mobile platform. Baidu is the only company to offer this service in the three first tier cities of Beijing, Guangzhou and Shanghai. According to a recent IHS Markit report, the major market potential for autonomous vehicles in the future will be pinned on business models such as robotaxis, which are estimated to account for more than 60 percent of China’s future mobility sharing market by 2030, exceeding $201 billion. IHS also estimates that this portion of the market will be dominated by two to three robotaxi service providers, with the leading provider occupying more than 40 percent of the market share. The autonomous driving industry in China has recently entered a new stage of development, characterized by trialing the implementation of large-scale applications. Wei Dong, vice president and chief safety operation officer of Baidu’s Intelligent Driving Group, said that achieving this large-scale implementation requires three steps: regionalization, commercialization and verification via unmanned on-road operation. Baidu has already made headway in autonomous ride-hailing, achieving a 60% drop in cost per mile with the 5th generation robotaxi vehicle release in June. With the launch in Shanghai, Baidu Apollo is continuing to deliver on China’s vision of developing a world-leading autonomous driving market.

HEADLINES

● OCI Solar Power, CPS Energy, and Hyundai Motor Group agree to enter negotiations to test an innovative way to store energy ● MiX Telematics announces collaboration with Ford Pro Intelligence ● Linfox launches its first EV for fresh produce in partnership with Woolworths Group ● BrightDrop completes the record-setting build of its first electric light commercial vehicle; unveils new vehicle and inks deal with Verizon ● Nikola and OPAL Fuels sign MoU for hydrogen fueling stations ● MicroSys partners with Hailo to launch a high-performance, embedded AI platform ● Continental and Horizon Robotics joint venture accelerates the commercialization of automotive AI technology ● Ridecell joins BlackBerry Ivy Ecosystem, bringing AI-powered fleet automation & NEMO ADAS data platform ● Woven Planet Holdings acquires vehicle operating system developer Renovo Motors ● Honda and Google collaborate on in-vehicle connected services ● Hyundai Motor Group launches ‘E-mobility Pilot’ in Singapore with SP Group and Komoco Motors to enhance EV customer experience ● LG acquiring Cybellum for at least $140 million ● Purdy Mobility is now Purdy Group ● IVECO and Nikola inaugurate joint-venture manufacturing facility for electric heavyduty trucks in Ulm, Germany ● Luokung announces eMapgo signs cooperation agreement with Microsoft for launch of autonomous driving services


Autonomous Vehicle/ADAS

Honda to start testing program in September toward the launch of autonomous vehicle mobility service business in Japan Honda announced that it will start a testing program for autonomous vehicles in September 2021, taking a step toward an autonomous vehicle mobility service (MaaS) business in Japan, which Honda is planning to launch under collaboration with Cruise and General Motors. The testing program for autonomous vehicles mobility service technologies will be conducted in Utsunomiya City and Haga Town, Tochigi Prefecture. As the first step to prepare for thorough testing, a high-definition map of the area will be created using a specialized vehicle for map-ping. Once the high-definition map is ready, the autonomous vehicle, Cruise AV, will be driven on public roads to develop and test autonomous vehicles adapted to the traffic environment and the relevant laws and regulations in Japan. Honda and Cruise will jointly work on the testing program, and also it will be pursued at a new operations test site to be established within a Honda facility in Tochigi Prefecture.

Peachtree Corners partners with T- Mobile to launch Beep autonomous shuttle fleet

Peachtree Corners announced the launch of a new fleet of autonomous shuttles, referred to as PAUL (Piloting Autonomous Use Locally), for residents this Fall. The service, implemented by Beep, a multi-passenger, electric, autonomous mobility solution provider, will operate along Technology Parkway and will include stops at popular destinations in the area such as hotels, restaurants, retail shops, the Innovation Center at Curiosity Lab at Peachtree Corners and City Hall. The fleet is comprised of autonomous electric vehicles from leading manufacturers Navya and Local Motors, which produces Olli, the world’s first 3D-printed autonomous vehicle.

Evonik presents new photopolymers for industrial 3D printing LexisNexis Risk Solutions teams with Kia America to unlock the power of ADAS for Kia customers shopping for insurance Kia America has entered into an agreement to supply vehicle build data to LexisNexis® Risk Solutions to help Kia owners across the U.S. potentially benefit from their cars’ advanced driver assistance systems (ADAS) when they shop for auto insurance. LexisNexis® Vehicle Build provides data regarding ADAS features in Kia vehicles in order to help U.S. auto insurers utilize ADAS data in insurance rating and underwriting, ultimately to help potentially reduce the total cost of vehicle ownership for consumers.

Evonik, a specialty chemicals company announced development of two new photopolymers for large scale industrial 3D printing. INFINAM® RG 3101 L is a specialty resin for use in SLA and DLP 3D printing technologies from Evonik’s innovation hub in Singapore. The Company claims that this ready-to-use material combines excellent impact resistance with high temperature resistance while exhibiting long-lasting thermo-mechanical performance. 3D components printed from INFINAM® RG 3101 L, such as drones, buckles, or automotive parts, can be processed by machine and remain fracture-resistant even when subjected to strong forces.

HEADLINES

● Volvo Autonomous Solutions reveals prototype long-haul autonomous truck for North America application ● General Motors and Motorq team up to help fleets reduce costs, improve driving through real-time, In-Vehicle Coaching service ● A2GO autonomous shuttle service launched in Ann Arbor on October 11 ● Chalmers University of Technology, Sweden: World’s largest open dataset for the development of self-driving vehicles launched ● Baidu-backed DeepWay unveils smart new energy heavy-duty truck to automate road freight ● Ford, Argo AI, And Walmart to launch autonomous vehicle delivery service in three U.S. Cities • Klas unveils RAVEN: lightening the load on the journey to autonomous vehicles

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Market Reports

Low commutation cost and low carbon emission make electric scooters a preferred mode of transportation in Urban Areas: Future Market Insights Future Market Insights (FMI) estimates that the global electric scooters market will expand at 9.0% CAGR over the forecast period of 2021 to 2031.Driven by the pressing need to control carbon emission from vehicles, increasing traffic congestion in urban areas, and growing population, the demand for electric scooters is expected to grow significantly over the forecast period. Top market players are emphasizing on launching hybrid and technologically advanced electric scooters to cater to the ever-growing demand for eco-friendly modes of transport. This will also spur competition prevailing in the market. Three-wheeled electric scooters are gaining traction in developed economies of Europe and North America, as they assist in reducing high congestion in roads and provide superior stability and durability. Increasing fuel prices along with favorable government policies promoting the adoption of electric scooters will propel the e-scooter market in India. Similarly, wide acceptance of electric scooters in China is prompting top manufacturers to enter the Chinese market. Increasing adoption of e-scooters in online food delivery and e-commerce, sharing services, government backed subsidies and increasing urbanization will boost the market growth in countries. However inadequate present charging infrastructure and high maintenance and manufacturing cost will have some adverse impact of growth of sales. In June 2021, Bajaj Auto decided to launch two variants of its Chetak e-scooters, Chetak Premium and Chetak Urban, with delivery begining in September 2021. These scooters will come with built-in data communication system for advanced security and user authentication. Some of the Leading players in Indian market profiled by FMI operating in electric scooters market include Ather Energy, Bajaj Auto, BMW Motorrad International, Cezeta, Hero Eco, Yamaha Motor Company Limited and so on. There are even other international brands like Evoke Motorcycles which are poised to launch their bikes in Indian market through local players.

Market Research Future (MRFR): Connected Car Market: Increasing demand for efficient management practices report till 2027

The global connected car market is predicted to expand at an incredible CAGR over the forecast period (2016-2027) owing to the need for constant connectivity, asserts Market Research Future (MRFR). The global connected car market has been segmented on the basis of technology, services, components, connectivity, and region. By mode of technology, the global connected car market has been segmented into WiFi & Bluetooth, 3G, 2G, and, LTE. Among these, the 2G service will gradually fade out and will be replaced by LTE and 3G technology due to rapidly changing telecommunication technology along with advent of reliable and faster communication networks. By mode of components, the global connected car market has been segmented into processors, sensors, cellular, and wireless modules. By mode of services, the global connected car market has been segmented into autonomous driving and vehicle management, well-being, OEM services, safety, and entertainment. By mode of connectivity, the global connected car market has been segmented into tethered, integrated, and embedded. Among these, the integrated connectivity is expected to occupy the maximum share owing to the consumer freedom of choice in customizing their data plans and connectivity devices.

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Fact.MR Study: Over 2/5th of Driver Alert Systems Market revenue driven by passenger cars A market research and competitive intelligence provider’s market intelligence report states the global driver alert system market is expected to exceed US$ 101 Bn by registering a healthy CAGR of 14% in the forecast period 2021-2031. Manufacturers of cars are focusing on ensuring safety while driving. This, in turn, has increased the sales of driver alert systems. Historically, from 2016 to 2020, the global driver alert system market exceeded market value of US$ 27 Bn by the end of the aforementioned period, expanding at a CAGR of 10%. Due to the COVID-19 pandemic, the driver alert system industry was significantly impacted, attributed to downturns in the global automotive industry. Driver alert systems, being an integral part of ADAS, have emerged as a highly soughtafter technology especially with rising focus on curbing the incidence of road accidents. Driver alert system is gaining traction not only in luxury vehicles segment, but also in small and medium sized vehicles categories. The increase in demand for passenger vehicles, coupled with the diverse applications of sensors, starting from disaster to road safety alerts, is creating prospects for growth in the market.


Telematics, Maps & Locations

HEADLINES

● Appsian Security releases cloud platform for ERP access management, segregation of duties, and data loss prevention ● AzurDrive and the Smart Driving Lab deployed digital infrastructure for smart financial and operational leasing programs ● Coventry University researchers bid to save lives with a new device designed to prevent aquaplaning ● Hitachi and Hitachi Astemo develop new compact, lightweight direct-drive system for inwheel applications ● General Motors’ new Ultifi platform reimagines what it means to own a vehicle ● RapidDeploy platform to deliver vehicle crash telematics collected by Bosch Service Solutions ● General Motors and Amazon team up to offer OnStar Emergency service at home ● Terex Materials Processing to offer ORBCOMM’s factory-installed LTE telematics solution

CalAmp’s LoJack Italia launches CalAmp iOn™ fleet management experience for smart decision making CalAmp announced its subsidiary, LoJack® Italia, has launched CalAmp iOn™ in Italy. The fully integrated fleet and asset management solution helps transportation, industrial, government, commercial, and service fleet operators reduce costs, increase operational efficiency and improve fleet safety. Reportedly CalAmp iOn delivers real-time business-critical data insights about vehicles, drivers, and assets to enable more informed decisions that streamline fleet operations. With the CalAmp iOn suite of web and mobile SaaS telematics services, fleet utility managers know exactly where their critical assets are so that they can quickly allocate these resources in the field. Because the CalAmp iOn platform blends fleet tracking with Esri® ArcGIS® insight, fleet operators will have access to accurate and essential data that can measurably improve their operations, profitability, and even save lives.

Volkswagen introduces Over-theAir Updates for all ID. models Volkswagen is taking the next big step towards becoming a software-oriented mobility provider with its ACCELERATE strategy. Effective immediately, all ID. models will receive regular software updates via mobile data transfer. The updates had previously only been available as part of a test phase for customers who had registered with the “ID. First Movers Club”. The “ID. Software 2.3” offers new functions and optimizes existing ones. Networking the entire ID. fleet will allow Volkswagen to lay the foundation for new, customeroriented business models. Thus far, Volkswagen remains the only high-volume manufacturer to provide this technology for its customers. The digital customer experience is becoming a focal point for all development steps for products and services across the entire vehicle lifecycle. As part of the ACCELERATE strategy, Over-the-Air Updates lay the foundation for new business models and customer-centric product optimisation.

Goodyear and Gatik collaborates to enhance safety and efficiency for autonomous middle mile logistics Goodyear and Gatik announced a multi-year collaboration with a goal to advance the development of mobility solutions for the autonomous B2B short-haul logistics industry. The collaboration will contribute to safer, more sustainable goods movement while reducing costs for Gatik’s customers in the B2B short-haul market nationwide. Under the collaboration, Goodyear’s venture capital fund, Goodyear Ventures, participated in Gatik’s recently announced Series B funding and the companies will work on multiple innovative projects. Gatik’s medium duty fleet will use tires equipped with tire intelligence technology powered by Goodyear SightLine, a suite of tire intelligence solutions, building upon Goodyear’s existing connected tire management products in an effort to improve stopping distances in autonomous commercial vehicles and monitor tire pressure in real time for enhanced safety and reduced wear. As Gatik commercializes its operations at scale, the use of tire intelligence solutions is expected to help reduce fuel and maintenance costs while increasing operational efficiencies for retailers, e-commerce companies and distributors employing Gatik’s autonomous solution.

October 2021 | Telematics Wire | 61


India

Ford restructures India operations, cease local vehicle manufacturing

HEADLINES

● Ford restructures India operations, cease local vehicle manufacturing ● Terex Materials Processing to offer ORBCOMM’s factory-installed LTE telematics solution ● Maruti Suzuki unveils S-Assist, an AI-based 24×7 virtual car assistant ● Hero Electric joins hands with Massive Mobility to set up 10,000 EV charging stations

NSRCEL-IIMB inks MoU with TechNovuus-ARAI to nurture technology-based startups NSRCEL the incubation arm of IIM Bengaluru (IIMB) has signed a Memorandum of Understand-ing (MoU) with The Automotive Research Association of India (ARAI), Pune through ARAI’s innovation development platform-TechNovuus. The collaboration aims to provide shared services for nurturing technology-based ventures or startups and helping to shape up new business models in India. The two signatories with their collective experience will also work towards positively influencing the tech-based startup ecosystems by providing mentorship in technology and busi-ness domains. This will help budding mobility-based startups and entrepreneurs to achieve sus-tainable business growth in the Indian startups’ landscape.

Ola Electric raises over $200Mn at $3Bn valuation Ola Electric announced that it has raised over US$200Mn led by Falcon Edge, Softbank, and others, at a valuation of US$3Bn. The fundraise comes at a time when Ola has already set the benchmark in two-wheeler sales by selling over US$150Mn of scooters in its first purchase window – outselling the entire two-wheeler industry on each of the two days. Speaking on the occasion, Bhavish Aggarwal, Founder, and CEO, Ola, said “We’re proud to lead the EV revolution from India to the world. India has the talent and the capability to build technologies of the future for the industries of the future for the entire world. I thank our existing investors and welcome new ones to Ola. Together we will bring mobility to a billion and sustainability to the future.”

Ford in India announced it will restructure its operations with plans to significantly expand its Chennai-based Ford Business Solutions team and bring to market some of Ford’s iconic global vehicles and electrified SUVs while ceasing vehicle manufacturing in India. Ford will continue to provide customers in India with ongoing parts, service, and warranty support. As part of the plan, Ford India will wind down vehicle assembly in Sanand by the fourth quarter of 2021 and vehicle and engine manufacturing in Chennai by the second quarter of 2022. Following accumulated operating losses of more than $2 billion over the past 10 years and a $0.8 billion non-operating write-down of assets in 2019, the restructuring is expected to create a sustainably profitable business in India. Ford will begin importing and selling must-have, iconic vehicles, including Mustang coupe. Customers in India also will benefit longer term from the Company’s plan to invest more than $30 billion globally to deliver all-new hybrid and fully electric vehicles, such as Mustang Mach-E. Sales of current products such as Figo, Aspire, Freestyle, EcoSport and Endeavour will cease once existing dealer inventories are sold.

Tata Motors signs a PPA with TATA Power to commission 3 MWp solar rooftop project at its Pune plant Tata Motors has signed a Solar Power Purchase Agreement with Tata Power to install and operate a 3 MWp rooftop solar project at its Passenger Vehicle Business Unit (PVBU) plant in Pune. This solar rooftop project is expected to generate nearly 45 lakh KWh per year, reducing carbon emissions by approximately 3,538 tonnes per year. This follows its commitment to conserve energy and achieve 100% renewable energy source for all its operations.

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8, 9, 10 March 2022 Radisson Blu, Bengaluru, India

presents

1200+

80+

Delegates

60+

Exhibitors

Speakers

10+

Sessions

6th edition

CONNECTED VEHICLE 2022

Who Should Attend? • Automakers • Automotive OEMs • Mobility Service Providers • IT Companies • Tier 1, Tier 2 & Tier 3 Suppliers • TSP’s • Chip Manufacturers • Semiconductors

• • • • • • • •

System Integrators Software/Hardware Providers Insurance Companies Lighting Companies Map Providers Content Providers Application Developers Big Data Analytics

For Speaking/Panel Slot Yashi Mittal M: +91 9810340678 mgr_corpcomm@telematicswire.net

64 | Telematics Wire | October 2021

• • • • • • • •

Telecom / Wireless carriers Cloud Service Providers Component Manufacturers Electric Vehicle Manufacturers Government Bodies State Transport Corporations Policy Makers Academia/Institutions

For Delegate Registration Poonam Mahajan M: +91 9810341272 mgr_corpsales@telematicswire.net

https://cv2022.in/

• Car Sharing Companies • Taxi Aggregators • PSU / STC • Financial Services • Associations • Consultants • Investors • Logistics & Transport

For Sponsorship/Exhibition Anuj Sinha M: +91 8744088838 anuj.sinha@telematicswire.net


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