Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
The Fusion of Point and Linear Objects in Navigation
1 West Pomeranian University of Technology, Szczecin, Poland
2 Maritime University of Szczecin, Szczecin, Poland
2 Maritime University of Szczecin, Szczecin, Poland
ABSTRACT: There are great many human activities where problems dealt with are based on data from a number of sources or where we lack certain data to solve a problem correctly. Such situations also occur in navigation, where we have to combine data from diverse navigational devices with archival data, including images. This article discusses a problem of the fusion of position data from shipboard devices with those retrieved from a hydrographic data base, the data being of varying accuracy. These considerations are illustrated with examples of the fusion of shipboard measurements with the pier line (or another cartographic object).
KEYWORDS: Data Fusion, Integrated Data, Point Objects, Linear Objects, Navigation, Fusion of Position Data, Cartographic Object, ECDIS (Electronic Chart Display and Information System)
REFERENCES
Banachowicz A. 1991. Integrated Navigation Model with Kalman Filter. Journal of Research AMW No 2, Gdynia, 1991. pp. 5-16. (in Polish)
Banachowicz A. The Effect of Matrix Elements of System Geometry on the Accuracy of the Hyperbolic Navigational System’s Position Coordinates. Annual of Navigation No 2, Gdynia. pp. 13 – 19.
Banachowicz A., Banachowicz G., Uriasz J., Wolski A. 2006. Relative Accuracy of DGPS. European Navigation Conference. Manchester, UK, 07-10.
Hall D.L., Llinas J. 2001. Handbook of Multisensor Data Fusion. CRC Press LLC, Boca Raton, Florida.
Kalman R.E. 1960. A New Approach to Linear Filtering and Prediction Problems. Transactions of the ASME – Journal of Basic Engineering, No 82, Series D, pp. 35 – 45.
Mitchell H.B. 2007. Multi-Sensor Data Fusion. An Introduction. Springer-Verlag. Berlin – Heidelberg – New York.
Moore T., Sadler B. 2006. Maximum – Likelihood Estimation and Scoring Under Parametric Constraints. US Army Research Laboratory.
Morrison D.F. 1976. Multivariete Statistical Methods. McGraw – Hill Book Company, London.
Ristic B., Arulampalm S., Gordon N. 2004. Beyond the Kalman Filter. Particle Filters for Tracking Applications. Artech House, Boston – London.
Rogers R.M. 2003. Applied Mathematics in Integrated Navigation Systems. Second Edition. AIAA, Virginia, Reston.
Vaniček P., Krakiwsky E.J. 1992. Geodesy: The Concepts. Elsevier Science Publishers.
Citation note:
Banachowicz A., Wolski A.: The Fusion of Point and Linear Objects in Navigation. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 7, No. 3, doi:10.12716/1001.07.03.09, pp. 381-385, 2013
Authors in other databases:
Andrzej Banachowicz:
8578875900
8578875900
Adam Wolski:
8578876500
8578876500
Other publications of authors:
File downloaded 1016 times
