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HOW SENSORS WORK AS A SYSTEM Think about all the different decisions you make, actively or passively, as you drive. Your brain takes in visual, tactile, and sound cues, all providing input for your brain to analyze and make a driving decision. How quickly can you merge? Is it safe to make this turn on a crowded block? What lane do I need to be in for an exit? The individual data points that contribute to these decisions can be complex. That's a difficult task for computers to replicate in autonomous vehicles. Moreover, it's not the goal of autonomous technology developers to just replicate human perception. The key to a successful autonomous vehicle environment is to make them better than human perception—flawless in decision-making. The function of multiple sensors working together is called “sensor fusion,” and it’s a key element to both functional ADAS and full autonomy. These challenges were covered as part of a recent webinar hosted by Partners for Automated Vehicle Education. The goal, ultimately, is safe driving no matter what the road throws at a vehicle. “You want to handle these harsh cases and be able to not only infuse redundancy, but ensure that you’re building a superhuman driver that goes much beyond the capabilities of what we have today," said Felix Heide, chief technology officer and cofounder of Algolux, an AI software company for automotive solutions. To read the entire story and learn all about sensor fusion, head to adaptautomotive.com/SensorFusion.
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ADAPT is tracking new technologies that might soon end up in the vehicles at your shop. Adaptive cruise control is now a common part of ADAS features released in new vehicles. But does it contribute to more speeding? Head to adaptautomotive. com/cruisecontrol to learn about the research behind this new feature.
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