X-TRACK is the first xLSTM model with explicit kinematic constraints that generates realistic highway trajectories and outperforms baselines on highD while matching SOTA on NGSIM.
A survey on trajectory-prediction methods for autonomous driving
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2025 2verdicts
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A contingency planning method for autonomous vehicles that learns human vehicle uncertainties online and uses reachable set barriers for non-conservative safety.
citing papers explorer
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X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction
X-TRACK is the first xLSTM model with explicit kinematic constraints that generates realistic highway trajectories and outperforms baselines on highD while matching SOTA on NGSIM.
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Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers
A contingency planning method for autonomous vehicles that learns human vehicle uncertainties online and uses reachable set barriers for non-conservative safety.