How would you develop a system to dynamically adjust the behavior of an autonomous vehicle in extreme weather conditions?

Instruction: Detail the data inputs, decision-making algorithms, and adjustments to vehicle operation.

Context: This question assesses the candidate's ability to integrate weather data and adjust vehicle systems dynamically, ensuring safety and reliability in extreme conditions.

Updated

Example Answer

I would first define the weather limits of the validated operating domain. Weather feeds can warn of hazards, but local visibility, traction indicators and sensor-health checks are essential. Within supported conditions, the planner may reduce speed and increase margins according to validated rules. If conditions exceed the supported limits, it should follow its approved fallback rather than assume a model can adapt to any storm. Weather data and more sensors do not remove physical stopping or visibility limits.

Make it your own

Illustrative scenario matrix: fog beyond visibility limits, accumulated sensor contamination, low-friction road and unavailable weather feed. State the detection evidence and permitted response for each.

Why this works

The design distinguishes adapting within limits from authorizing new limits. Follow-up: what evidence would justify expanding the supported weather range?

Sources: NHTSA ADS safety guidance.

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