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Tytuł artykułu

Data fusion in a navigational decision suport system on a sea-going vessel

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Języki publikacji
EN
Abstrakty
EN
The problem of data fusion in a navigational decision support system on a sea-going vessel has been analyzed. The computing algorithm herein applied for solving the formulated problem is based on a multi-sensor Kalman filter. On the practical side, results of the tests done in real conditions are shown. The tests conducted onboard m/s Nawigator XXI, have been aimed at the verification of the proposed computing algorithm implemented in a prototype navigational decision support system.
Rocznik
Tom
Strony
78--85
Opis fizyczny
Bibliogr. 18 poz., rys.
Twórcy
autor
  • Institute of Marine Technologies Faculty of Navigation Maritime, University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, POLAND
Bibliografia
  • 1. Bar-Shalom Y., Willett P., Tian X.: Tracking and data fusion. YBS Publishing, Storrs 2011
  • 2. Borkowski P.: Algorithm of multi-sensor navigational data fusion – testing of estimation quality. Polish Journal of Environmental Studies, Vol. 17, No. 3B, 2008 (43-47)
  • 3. Borkowski P., Pietrzykowski Z., Magaj J. Mąka M.: Fusion of data from GPS receivers based on a multi-sensor Kalman filter. Transport Problems, Vol. 3, No. 4, 2008 (5-11)
  • 4. Borkowski P., Stateczny A.: An algorithm of navigational data integration. Maintenance Problems No. 68, 2008 (181-188)
  • 5. IMO: Carriage requirements for shipborne navigational systems and equipment, SOLAS, London 2005
  • 6. Hofmann-Wellenhof B., Lichtenegger H., Collins J.: Global Positioning System. Springer, Wien 2001
  • 7. Jannin P., Grova C., Gibaud B.: Medical applications of NDT data fusion. Applications of NDT data fusion, Kluwer Academic Publishers, Boston 2001 (227-267)
  • 8. Kaczorek T.: Linear control systems. John Wiley and Sons Ltd., New York 1992
  • 9. Liggins M., Hall D., Llinas J.: Handbook of multisensory data fusion. CRC Press, Boca Raton 2008
  • 10. Patraiko D., Wake P., Weintrit A.: E-navigation and the human element. Marine navigation and safety of sea transportation, CRC Press, London 2009 (29-34)
  • 11. Phol C., Ganderen J.: Multi-sensor image fusion in remote sensing: concept, methods and applications. International Journal of Remote Sensing, Vol. 19, No. 5, 1998 (823-854)
  • 12. Pietrzykowski Z.: Maritime intelligent transport systems. Communications in Computer and Information Science, series No. 104, Springer, Berlin 2011 (455-462)
  • 13. Pietrzykowski Z., Borkowski P., Wołejsza P.: Marine integrated navigational decision support system. Communications in Computer and Information Science, series No. 329, Springer, Berlin 2012 (284-292)
  • 14. Sroka R.:Data fusion methods in measurements of road traffic parameters (in Polish). AGH University of Science and Technology, Cracow 2008
  • 15. Sun S.: Multi-sensor optimal information fusion Kalman filters with application. Aerospace Science and Technology, Vol. 8, No. 1, 2004 (57-62)
  • 16. Sun S., Deng Z.,: Multi-sensor optimal information Fusion Kalman filter. Automatica, Vol. 40, 2004 (1017-1023)
  • 17. Torra V.: Information fusion in data mining. Springer, Heidelberg 2003
  • 18. Xu Y., Qi H.: Distributed computing paradigms for multisensor data fusion in sensor networks. Journal of Parallel and Distributed Computing, Vol. 64, No. 8, 2004 (945-959)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2d1b3f16-7214-42ee-8244-b249af073b96
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