Noor khan completed Machine Learning for Automotive Safety
What Noor demonstrated
Built a complete perception-validation dossier for a synthetic Aurora-7 detector: defined detection by IoU ≥ 0.5, scored aggregate and VRU-specific precision/recall, exposed a sharp recall collapse in night and occluded slices, and translated the top misses into ISO 21448 SOTIF chains with concrete mitigations. Finished with an evidence-based GO-WITH-CONDITIONS verdict and a grounded comparison to the Uber ATG Tempe crash.
- Leakage-Free Detection Definition
- Honest Safety Metric Evaluation
- Per-Condition Failure Triage
- ISO 21448 SOTIF Reasoning
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