CausalVAD applies sparse causal intervention to remove spurious correlations from end-to-end autonomous driving models, reporting state-of-the-art planning accuracy and robustness on nuScenes.
Artdeco: Toward high-fidelity on-the-fly reconstruction with hierarchical gaussian structure and feed- forward guidance
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CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
CausalVAD applies sparse causal intervention to remove spurious correlations from end-to-end autonomous driving models, reporting state-of-the-art planning accuracy and robustness on nuScenes.