Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
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).
Rocznik
Tom
Strony
381--385
Opis fizyczny
Bibliogr. 11 poz., rys.
Twórcy
autor
- West Pomeranian University of Technology, Szczecin, Poland
autor
- Maritime University of Szczecin, Poland
Bibliografia
- [1] Banachowicz A. 1991. Integrated Navigation Model with Kalman Filter. Journal of Research AMW No 2, Gdynia, 1991. pp. 5‐16. (in Polish)
- [2] 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.
- [3] Banachowicz A., Banachowicz G., Uriasz J., Wolski A. 2006. Relative Accuracy of DGPS. European Navigation Conference. Manchester, UK, 07‐10.
- [4] Hall D.L., Llinas J. 2001. Handbook of Multisensor Data Fusion. CRC Press LLC, Boca Raton, Florida.
- [5] 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.
- [6] Mitchell H.B. 2007. Multi‐Sensor Data Fusion. An Introduction. Springer‐Verlag. Berlin – Heidelberg – New York.
- [7] Moore T., Sadler B. 2006. Maximum – Likelihood Estimation and Scoring Under Parametric Constraints. US Army Research Laboratory.
- [8] Morrison D.F. 1976. Multivariete Statistical Methods. McGraw – Hill Book Company, London.
- [9] Ristic B., Arulampalm S., Gordon N. 2004. Beyond the Kalman Filter. Particle Filters for Tracking Applications. Artech House, Boston – London.
- [10] Rogers R.M. 2003. Applied Mathematics in Integrated Navigation Systems. Second Edition. AIAA, Virginia, Reston.
- [11] Vaniček P., Krakiwsky E.J. 1992. Geodesy: The Concepts. Elsevier Science Publishers.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9b08154a-fda7-4d1e-8a2d-f4ddc25be60e