📑 arXiv 3d ago
AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving
AD4AD benchmark evaluates Visual Anomaly Detection models for identifying out-of-distribution objects in autonomous driving, enabling systems to alert drivers when encountering unfamiliar situations. Produces pixel-level anomaly maps to guide attention to specific risk regions. Addresses safety-critical failure modes when perception systems encounter conditions outside training distribution.