2026
CausalPlanner: A Causality-Enhanced Planning Framework for Generalizable Autonomous Driving
RA-L 2026
Imitation learning (IL) has been widely adopted for autonomous driving planning because of its data efficiency and stable optimization. Yet IL-based planners often suffer from causal confusion, fitting spurious correlations instead of genuine causal mechanisms, which leads to unreliable planning beh