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Sensors 2017, 17(6), 1432; doi:10.3390/s17061432

The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion

Maritime University of Szczecin, Wały Chrobrego 1, Szczecin 70500, Poland
Received: 20 April 2017 / Revised: 15 June 2017 / Accepted: 16 June 2017 / Published: 20 June 2017
(This article belongs to the Special Issue Soft Sensors and Intelligent Algorithms for Data Fusion)
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Abstract

It is essential for the marine navigator conducting maneuvers of his ship at sea to know future positions of himself and target ships in a specific time span to effectively solve collision situations. This article presents an algorithm of ship movement trajectory prediction, which, through data fusion, takes into account measurements of the ship’s current position from a number of doubled autonomous devices. This increases the reliability and accuracy of prediction. The algorithm has been implemented in NAVDEC, a navigation decision support system and practically used on board ships. View Full-Text
Keywords: prediction of ship movement trajectory; navigational data fusion; navigational decision support system prediction of ship movement trajectory; navigational data fusion; navigational decision support system
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Borkowski, P. The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion. Sensors 2017, 17, 1432.

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