A causal inference framework with backdoor adjustment and counterfactual analysis reports accuracy gains on five driving datasets, but the causal derivation is weakly grounded.
Tpnet: Trajectory proposal network for motion prediction,
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Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction
A causal inference framework with backdoor adjustment and counterfactual analysis reports accuracy gains on five driving datasets, but the causal derivation is weakly grounded.