Tecnalia joshue itseus noviembre 2016

Conducción Automatizada -Algunas consecuencias en nuestra sociedad-

Gidatze automatizatua –ondorio batzuk gure gizartean-

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Donostia-San Sebastian, 16 Noviembre 2016 PhD. Joshué Pérez Rastelli

Outline:  Introduction

 Automated Vehicles  Some

challenges and future Works in AV.

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Introduction

Electronic in vehicles today

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It is estimated that electronics account is more than 45 % of the cost of designing and producing some vehicles

Recent News:

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Recent News: Automotive Vision Firm VisLab Acquired by Ambarella for $30M (July, 2015)

Los primeros autobuses autónomos de España ya están en funcionamiento en San Sebastián

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Some Year ago…

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Timeline with important automated vehicle demonstrations

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D. Gonzalez, J. Pérez, V. Milanés and F. Nashashibi “A Review of Motion Planning Techniques for Automated Vehicles” in IEEE Trans. on Intelligent Transportation Systems, December 2015

International ITS research Groups

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International ITS research Groups

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Outline:  Introduction

 Automated Vehicles  Some

challenges and future Works in AV.

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Intelligent Transportation Systems

Motivations

Techniques

Applications

Introduction

ITS objetives:

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To reduce: • Accidents • Transport times • Fuel consumption To increase: • Security • Comfort • Efficiency

Automated Driving

Advanced Driver Assistance Systems ADAS

What does ADAS mean? 

The Advanced Driver Assistance Systems or ADAS, are embedded systems devoted to support the driver in the safe control of the vehicle.

Resuming: The challenge of the ADAS are the “Green, Safe and supportive transportation”, in particular to the “accident free mobility” scenarios.

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Control Solutions in ADAS 

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ADAS

From the control point of view control DAS systems can be classified as:

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Longitudinal Control Systems: Those ADAS which are able to modify vehicle speed by accelerating or braking it.

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Lateral Control Systems: Those ADAS which are able to change vehicle direction, usually actuating on the steering system

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Global Control Systems: ADAS with a combination of longitudinal and lateral control or only warning systems.

Global Control Systems

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ADAS

Context

Automated Driving

Control architecture for automated vehicles

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D. Gonzalez, J. Pérez, V. Milanés and F. Nashashibi “A Review of Motion Planning Techniques for Automated Vehicles” in IEEE Trans. on Intelligent Transportation Systems, December 2015

Context

Automated Driving

Scientific Positioning Input used

Automated Twizy:

Our developments

Acquisition Communications

Sensors

BusCAN

Perception

V2V & Digital Infrastructure

Fusion

External

Internal

Decision Global & Local Planning, Cooperative Vehicles

Vehicle Model Dynacar

Traffic Models Macro

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Micro

Actuation Steering wheel, Pedals & Power train

Control Pre-planned trajectories, Intelligent / Classic

HIL & SIL

Control/navigation Next Steps: Research: • Platooning for urban environments • Path Planning generation with dynamic obstacles.

• Driver in the loop (Interaction and arbitration).

• Cooperative maneuvers.

• Merging • Overtaking • Platooning.

• …

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Sharing vehicle control between driver and ADAS systems ď‚—

ď‚—

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The arbitration concept is the process of settling an argument or a disagreement by an entity that is not involved.

Consideration of the standard SAE J3016 (January 2014).

Outline:  Introduction

 Automated Vehicles  Some

challenges and future Works in AV.

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Self-driving cars: The next revolution - Some improvements?Some paradigms changes for the intelligent vehicle transportation: • Crash Elimination • Reduced Need for New Infrastructure

• Data Challenges • New Models for Vehicle Ownership (will you need you own car?)

• Travel Time Dependability • Productivity Improvements • Improved Energy Efficiency • New Business Models & Scenarios

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Brain driving

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Deep Learning (NDIVIA)

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Some Challenges • Cyber security.

• Comprehensive general obstacle detection

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Some Challenges • Driver not available

• New crashes caused by automation o 3000 Million Miles for a fatal accident

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Others: • Extreme external conditions.

• Real-time software safety/verification.

• …

How Automated can change our world? â&#x20AC;˘ In 2050, 75 % of the population will live in cities (< 5% of the total Land).

97% in urban Cities

Impact in: - Congestion.

- Safety - Use of Cities Space.

- Emission - Pollution.

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* From International Transport Forum, Urban Mobility System Upgrade

How Automated can change our world?

Not only car are under used!!!:

Car Sharing in the last year:

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* From International Transport Forum, Urban Mobility System Upgrade

How Automated can change our world?... One example: Singapore simulation:

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* From International Transport Forum, Urban Mobility System Upgrade

How Automated can change our world?... One example: Singapore simulation:

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* From International Transport Forum, Urban Mobility System Upgrade

Some applications: ï&#x201A;&#x2014;

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Perfect World?

Thank you!

Gracias! eskerrik asko!

Merci!

Conducción Automatizada -Algunas consecuencias en nuestra sociedad-

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Donostia-San Sebastian, 16 Noviembre 2016 PhD. Joshué Pérez Rastelli