CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention explores A de-confounding framework for end-to-end autonomous driving models that uses causal intervention to improve reliability and safety by eliminating dataset biases.. Commercial viability score: 7/10 in Autonomous Driving.
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