2 papers
cs.CV2026
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
Moru Liu, Hao Dong, Jessica Kelly +2
Out-of-distribution (OOD) detection and segmentation are crucial for deploying machine learning models in safety-critical applications such as autonomous driving and robot-assisted…
cs.LG2025
Explaining Unreliable Perception in Automated Driving: A Fuzzy-based Monitoring Approach
Aniket Salvi, Gereon Weiss, Mario Trapp
Autonomous systems that rely on Machine Learning (ML) utilize online fault tolerance mechanisms, such as runtime monitors, to detect ML prediction errors and maintain safety during…