UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving

Daniel Bogdoll, Noël Ollick, Tim Joseph +2

Dealing with atypical traffic scenarios remains a challenging task in autonomous driving. However, most anomaly detection approaches cannot be trained on raw sensor data but requir…