CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention

Jiacheng Tang, Zhiyuan Zhou, Zhuolin He +3

Planning-oriented end-to-end driving models show great promise, yet they fundamentally learn statistical correlations instead of true causal relationships. This vulnerability leads…