Detecting the Unsafe Unknowns – How a Complementary Perception Channel Enables Safe Automated Driving

AI-based perception alone cannot ensure the safety of automated vehicles. The presentation discusses the safety aspects of typical perception and planning stacks. It proposes a complementary safety channel to address currently used algorithms’ weaknesses. This safety channel explicitly handles unsafe and unknown objects and ensures that the automated vehicle never collides with any of them.