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cs.RO2026

Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction

Hao Zhou, Lu Qi, Jason Li +5

Trajectory prediction is critical for autonomous driving, enabling safe and efficient planning in dense, dynamic traffic. Most existing methods optimize prediction accuracy under f…