Omm Prakash Sahoo completed Machine Learning for Automotive Safety

Built a perception validation dossier for a synthetic Aurora-7 detector end to end: defined detection using IoU ≥ 0.5, scored precision/recall and VRU false-negative rate from a detections table, and exposed the night/occlusion slices where VRU recall collapsed. The final recommendation was evidence-based and internally consistent, tying the release decision to the measured safety gaps and concrete daylight-only mitigation.

• Leakage-Free Detection Definition
• Honest Safety Metric Evaluation
• Per-Condition Failure Triage
• SOTIF Hazard Framing