How are pedestrian and cyclist safety ensured by autonomous vehicle systems?
Instruction: Describe the technologies and algorithms used to detect and avoid collisions with pedestrians and cyclists.
Updated
Example Answer
Pedestrian and cyclist risk requires perception, tracking, uncertain motion prediction and feasible planning together. A model can miss a partly occluded person or predict the wrong crossing behavior, and physical stopping distance limits the response. I would test vulnerable-road-user scenarios within the operating domain, including children, unusual cycles, low visibility and stationary people. Improvements need versioned validation; detection accuracy or continuous adaptation alone does not ensure safety.
Make it your own
Illustrative scenario: a stationary cyclist partly hidden behind a parked vehicle begins moving. Record detection delay, prediction uncertainty and the resulting feasible response.
Why this works
Recognition success and safe motion are different outcomes. Follow-up: how would a high average recall conceal a critical failure near the vehicle?
Sources: NHTSA ADS safety guidance, TorchVision detection models.