Hierarchical Two-Stage Framework for Environment-Aware Long-Horizon Vessel Trajectory Prediction

ArXi:2605.16442v1 Announce Type: cross Long-horizon vessel trajectory forecasting under real ocean conditions is critical for collision avoidance, traffic management, and route planning. However, achieving accurate predictions is challenging due to long-range temporal dependencies and dynamic environmental factors such as currents, wind, and waves. To address these issues, we propose a hierarchical two-stage framework that combines a coarse long-term predictor with a grid-aware short-term predictor through a hierarchical fusion mechanism.