Wenyuan Qin

MaTF: Maneuver-Aware Temporal Fusion for Trajectory Prediction Under Arbitrary Observation Length

Trajectory prediction is essential for many robotic applications, yet most existing models rely on fixed-length observations and struggle with temporally irregular inputs. In real-world settings, prediction difficulty further increases when agents exhibit strong maneuverability, as their future motions depend on distin...