Analyzing offshore vessel encounters: A dataset for enhancing maritime security and monitoring
do Nascimento, V.D.; de Farias, C.M.; Dutra, D.L.C.; Alves, T.A.O. (2025). Analyzing offshore vessel encounters: A dataset for enhancing maritime security and monitoring, in: 28th International Conference on Information Fusion (FUSION), 07-11 July 2025. . https://dx.doi.org/10.23919/FUSION65864.2025.11124045
In: (2025). 28th International Conference on Information Fusion (FUSION), 07-11 July 2025. IEEE: [s.l.]. , more
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Document type: Conference paper
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| Authors | | Top |
- do Nascimento, V.D.
- de Farias, C.M.
- Dutra, D.L.C.
- Alves, T.A.O.
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| Abstract |
Maritime Situational Awareness (MSA) is crucial for identifying suspicious vessel activities, such as dark-ship operations and prolonged loitering activities. However, the development of robust detection systems requires high-quality datasets that capture vessel encounters, particularly encounters that occur beyond 20 nautical miles (NM) from the coast. This paper presents the creation and analysis of a comprehensive data set that contains vessel trajectories associated with offshore encounters. The dataset, constructed using 12 months of data from the Marine Cadastre Automatic Identification System (AIS), leverages the H3 geohash system for spatial proximity detection and MovingPandas for trajectory extraction. The dataset analysis demonstrates that the dataset is a powerful tool for enhancing Maritime Domain Awareness (MDA), contributing to monitoring and security in the maritime environment. The analysis of encounter patterns highlights both the importance of reliable data and the need for a robust detection system to address uncertainties and information gaps. |
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