Papers
1–3 of 3Research Paper·Mar 11, 2026
Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction
Trajectory prediction is critical for autonomous driving, enabling safe and efficient planning in dense, dynamic traffic. Most existing methods optimize prediction accuracy under fixed-length observat...
8.0 viability
Research Paper·Mar 10, 2026
MetaDAT: Generalizable Trajectory Prediction via Meta Pre-training and Data-Adaptive Test-Time Updating
Existing trajectory prediction methods exhibit significant performance degradation under distribution shifts during test time. Although test-time training techniques have been explored to enable adapt...
7.0 viability
Research Paper·Mar 6, 2026
A prior information informed learning architecture for flying trajectory prediction
Trajectory prediction for flying objects is critical in domains ranging from sports analytics to aerospace. However, traditional methods struggle with complex physical modeling, computational ineffici...
7.0 viability