Akshata Biradar completed Machine Learning for Automotive Safety

Built a perception validation dossier end to end for a synthetic Aurora-7 detector: defined a correct IoU-based detection rule, scored precision/recall and the VRU false-negative rate, and sliced recall by condition to expose the night and occluded failure modes. Then translated those misses into ISO 21448 SOTIF chains with concrete mitigations and issued a daylight-restricted ship recommendation grounded in the project’s own evidence.

• Leakage-Free Detection Definition
• Safety-Critical Metric Selection
• Per-Condition Failure Triage
• SOTIF Functional-Insufficiency Reasoning