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Arunesh Roy, Radar Algorithms Architect at NXP Semiconductors, presents the “Understanding Automotive Radar: Present and Future” tutorial at the May 2018 Embedded Vision Summit.

Thanks to its proven, all-weather range detection capability, radar is increasingly used for driver assistance functions such as automatic emergency braking and adaptive cruise control. Radar is considered a crucial sensing technology for autonomous vehicles not only for its range finding ability, but also because it can be used to determine target velocity and target angle. In this tutorial, Roy introduces the basic principles of operation of a radar system, highlighting its main parameters and comparing radar with computer vision and other types of sensors typically found in ADAS and autonomous vehicles.

After examining the features and the limitations of current automotive radar systems, Roy discusses how automotive radar is evolving, particularly in light of safety performance assessment programs such as the European New Car Assessment Programme (eNCAP). He concludes with a discussion of how radar systems may compete with or complement vision-based sensors in future ADAS-equipped and autonomous vehicles.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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