Helldin, T. and Riveiro, M. (2009) Explanation Methods for Bayesian Networks: Review and Application to a Maritime Scenario. Proceedings of the 3rd Annual Skövde Workshop on Information Fusion Topics, Skövde, 12-13 October 2009, 11-16.
基于AIS数据的船舶异常行为检测方法Abnormal Vessel Behavior Detection Based on AIS Data
AIS数据, 异常行为, 船舶航迹, 行为建模, 异常检测AIS Data, Abnormal Behavior, Vessel Trajectory, Behavioral Modeling, Anomaly Detection
《Artificial Intelligence and Robotics Research》, Vol.4 No.4, 2015-11-09
Maritime behavior detection is critical for maritime surveillance and management. It is important for ship’s safe sailing, normal production at ports, marine environmental protection, water illegal activities prevention and so on. With more and more AIS systems are installed on board, massive amounts of AIS data have been accumulated, which provides us with promising ways to investigate the law of ship motions and the detection of abnormal behaviours. In this paper, various algorithms used for detecting abnormal behaviours of ship are reviewed and commented, and the challenge of researchers in this field faced is then pointed out, in the end, the perspectives in this realm are also proposed.