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Enhancing Safety and Performance in Autonomous Driving/ADAS with a Motion-first Approach to Perception

How can we allow for additional time and greater accuracy in understanding objects’ motion for ADAS to take effective action? Existing perception methods have several shortcomings, and these limitations of ADAS systems cause several false positives/false negatives and often leave the motion planning system with very little reaction time and information needed to handle safety-critical situations. As a result, the usability and trust in the current ADAS systems have been low.

In this presentation, we will discuss how a motion-first approach to perception provides the time advantage that can enable advanced ADAS features.

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Hear from:

Joel Pazhayampallil headshot

Joel Pazhayampallil
Founder and CEO
BlueSpace.ai




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