Lin-Ying Ge

Reasoning-Distilled Planning: Transferring Vision–Language Guidance to Real-Time End-to-End Driving

Real-time end-to-end planners learn metric trajectories efficiently, but logged waypoints provide little supervision about scene intent in ambiguous interactions. We introduce Reasoning-Distilled Planner (RDP), which uses a vision–language model only while constructing training signals for a sparse planner. The teacher...