Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction
Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction explores A novel framework for improving trajectory prediction in autonomous driving using variable-length observations.. Commercial viability score: 8/10 in Trajectory Prediction.
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