Mingyu Hou

Unified Planning Framework With Drivable Area Attention Extraction for Autonomous Driving in Urban Scenarios

The diversity of urban traffic scenarios poses challenges in stability and generalization for autonomous driving. To tackle this issue, this paper proposes a hierarchical decision-making and planning framework based on reinforcement learning, which employs a unified drivable area cross-attention ext