Research papers · 2025.02
Deep Learning Safety Concerns in Automated Driving Perception
Deep Learning Safety Concerns in Automated Driving Perception
Overview
The paper refines a structured set of deep-learning perception safety concerns using expert feedback. Additional categorization supports cross-disciplinary engineering and connects the concerns to SOTIF and emerging automotive AI-safety standardization.
Author-supplied source information
Author-supplied information on arXiv.
Added note regarding accepted version at IEEE Transactions on Intelligent Vehicles with DOI
Version: arXiv v3 — manuscript revision