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Article

The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion

Maritime University of Szczecin, Wały Chrobrego 1, Szczecin 70500, Poland
Sensors 2017, 17(6), 1432; https://doi.org/10.3390/s17061432
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)
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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MDPI and ACS Style

Borkowski, P. The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion. Sensors 2017, 17, 1432. https://doi.org/10.3390/s17061432

AMA Style

Borkowski P. The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion. Sensors. 2017; 17(6):1432. https://doi.org/10.3390/s17061432

Chicago/Turabian Style

Borkowski, Piotr. 2017. "The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion" Sensors 17, no. 6: 1432. https://doi.org/10.3390/s17061432

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