AIS-LLM: A Unified Framework for Maritime Trajectory Prediction, Anomaly Detection, and Collision Risk Assessment With Explainable Forecasting

With the rise of maritime traffic and the mandatory use of the Automatic Identification System (AIS), the importance of AIS-based tasks such as vessel trajectory prediction, anomaly detection, and collision risk assessment is rapidly increasing. Currently, most approaches address these tasks individ...

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Autors principals:	Hyobin Park, Jinwook Jung, Minseok Seo, Hyunsoo Choi, Deukjae Cho, Sekil Park, Dong-Geol Choi
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	LLM vessel trajectory prediction automatic identification system (AIS) anomaly detection collision risk assessment time series forecasting
Accés en línia:	https://ieeexplore.ieee.org/document/11570090/
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