What is the impact of weather conditions on autonomous vehicle performance?
Instruction: Discuss how different weather conditions affect autonomous driving technologies and how these challenges are mitigated.
Updated
Example Answer
Weather can degrade cameras, LiDAR, radar, localization and vehicle dynamics in different ways. Complementary sensing may help, but no modality is immune and fusion does not authorize operation beyond validated conditions. I would characterize relevant rain, fog, snow, glare and contamination, monitor capability and define operating limits and fallback. Training augmentation and infrastructure reports can support evaluation; they cannot substitute for evidence from the intended environment.
Make it your own
Illustrative evaluation slice: fog with a dirty sensor cover and reduced road friction. Measure perception and control consequences together rather than only image-detection accuracy.
Why this works
Weather affects both observation and feasible maneuvers. Follow-up: how would you distinguish an occluded sensor from a genuine low-visibility scene?
Sources: NHTSA ADS safety guidance, TI automotive radar reference design.
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