Aishwarya Jain Yelaneeru completed Machine Learning for Automotive Safety

Built a complete perception-validation dossier for a synthetic Aurora-7 detector: defined detection correctly with an IoU threshold, scored precision/recall and VRU false-negative rate from a detections table, and exposed the dangerous night/occlusion collapse through condition-based recall slicing. The final release recommendation was evidence-based and internally consistent, with SOTIF-style mitigations and a grounded comparison to the Uber ATG Tempe crash.

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