How is ADAS perception system performance validated?

Perception validation methodology: Metrics definition - precision, recall, F1 score, mean Average Precision (mAP) for detection; Intersection over Union (IoU) for localization; latency for timing. Test data: Diverse datasets covering weather, lighting, object types, and geographic regions; includes corner cases and rare scenarios. Testing levels: Simulation with synthetic data, recorded sensor logs (offline replay), controlled environment testing (test tracks), and public road testing. Benchmark datasets (KITTI, nuScenes, Waymo Open) enable comparison. Validation must cover operational design domain (ODD) conditions and degraded modes (sensor blocked, adverse weather). Statistical significance requires large test volumes.