Zewei Yang

SEG-Parking: Towards Safe, Efficient, and Generalizable Autonomous Parking Via End-To-End Offline Reinforcement Learning

Autonomous parking is a critical component for achieving safe and efficient urban autonomous driving. However, unstructured environments and dynamic interactions pose significant challenges to autonomous parking tasks. To address this problem, we propose SEG-Parking, a novel end-to-end offline reinf…