Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
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SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
Announce Type: replace Abstract: Accurate long-horizon vessel trajectory prediction remains challenging due to compounded uncertainty from complex navigation behaviors and environmental factors. Existing methods often struggle to maintain global directional consistency, leading to drifting or implausible trajectories when extrapolated over long time horizons. To address this issue, we propose a semantic-key-point-conditioned trajectory modeling framework, in which future trajectories are...