Research papers · 2024.02
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Overview
The proposed self-surveillance and adaptation system combines perception-algorithm risk with external collision risk through SOTIF entropy. A YOLOv5 monitoring example propagates risk to decision-making and is evaluated using hardware-in-the-loop scenarios.
Author-supplied source information
Author-supplied information on arXiv.
16 pages, 10 figures, 2 tables, submitted to IEEE TITS
Version: arXiv v1 — manuscript revision