A Contextually Supported Abnormality Detector for Maritime Trajectories

A Contextually Supported Abnormality Detector for Maritime Trajectories

The analysis of maritime traffic patterns for safety and security purposes is increasing in importance and, hence, Vessel Traffic Service operators need efficient and contextualized tools for the detection of abnormal maritime behavior. Current models lack interpretability and contextualization of t...

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Bibliographic Details
Main Authors: Kristoffer Vinther Olesen, Ahcène Boubekki, Michael C. Kampffmeyer, Robert Jenssen, Anders Nymark Christensen, Sune Hørlück, Line H. Clemmensen
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Journal of Marine Science and Engineering
Subjects:
maritime surveillance
vessel traffic service
AIS
maritime traffic patterns
trajectory clustering
anomaly detection
Online Access:https://www.mdpi.com/2077-1312/11/11/2085

Internet

https://www.mdpi.com/2077-1312/11/11/2085

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