How do you ensure robust perception performance in adverse weather conditions?

Adverse weather robustness: 1) Sensor selection - radar maintains performance in rain/fog; lidar performance varies (mechanical vs solid-state); camera needs adaptation; 2) Algorithm adaptation - defogging algorithms, rain removal, low-light enhancement, snow detection; 3) Multi-sensor fusion - sensor weighting based on detected conditions, cross-checking for degraded sensor; 4) Confidence estimation - perception outputs include uncertainty, triggering appropriate system responses; 5) Operational Design Domain (ODD) definition - clearly specify conditions where system operates versus disengages; 6) Testing strategy - real adverse weather testing, weather simulation, and spray/fog facilities. Validation requires statistical evidence across weather conditions. Graceful degradation maintains safety when performance is reduced.