2026
Learning a Unified Risk Map for Autonomous Driving in Partially Observable Environments
RA-L 2026
Occlusion-aware prediction remains a critical challenge in autonomous driving due to the inherent uncertainty of unobserved regions. Existing approaches either overestimate risk based on reachable states or struggle to predict accurate trajectories under high occlusion uncertainty. To address these