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Publications
Perera, L.P. and Guedes Soares, C. (2010), “Ocean Vessel Trajectory estimation and prediction based on Extended Kalman Filter”, Proceedings of the Second International Conference on Adaptive and Self-adaptive Systems and Applications (ADAPTIVE 2010), 21-26 November, Lisbon, Portugal, pp. 14-20
The accurate estimation and prediction of maneuvering of ocean vessel trajectories are important aspects of the future ocean navigation to improve maritime safety and security. Even though many conventional ocean navigational systems and Vessel Traffic \& Reporting Services associated with Radar facilities for detection and tacking of maneuvering vessels, extensive estimation and prediction of navigational trajectories has not been developed. The accuracy of prediction of maneuvering trajectory of vessels mainly depends on the goodness of the estimation of a vessel position, velocity and acceleration. In this study, maneuvering vessel motion model as the curvilinear motion model and measurement model as the linear positions model with Gaussian noise have been considered. The Extended Kalman Filter algorithm for estimation of position, velocity and acceleration of maneuvering vessel are further studied in this paper.
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