An autonomous car combines vision, radar, lidar, proximity sensors, GPS, mapping, navigation, planning and control. These components must combine into a reliable, safe and secure system that can analyze complex environments in real time and negotiate chaotic environments.
Learn why data-centric architecture is the secret sauce you need for improving flexibility, reducing risk and lowering lifecycle costs in the development of autonomous cars.
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