Mohammad Awais Nijamoddin Pinjari completed Machine Learning for Automotive Safety

Built a perception validation dossier that defined detection by IoU threshold, scored a synthetic detections table, and separated aggregate performance from the safety-critical VRU false-negative rate. The analysis then broke recall down by lighting, visibility, and rarity, correctly exposing the night and occluded slices as the highest-risk failure modes.

• Leakage-Free Detection Definition
• Safety-Critical Metric Selection
• Per-Condition Failure Analysis