X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction
Researchers have developed X-TRACK, a novel trajectory prediction model for autonomous driving that leverages the extended Long Short-Term Memory (xLSTM) architecture. This new model explicitly incorporates vehicle motion kinematics, or physics-based constraints, to ensure generated trajectories are realistic and feasible. Evaluations on the highD and NGSIM datasets show X-TRACK surpasses existing state-of-the-art methods on highD and achieves comparable results on NGSIM. AI
IMPACT Introduces a physics-aware xLSTM model that improves realism and feasibility in autonomous vehicle trajectory prediction.