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The Fusion of Point and Linear Objects in Navigation

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EN
Abstrakty
EN
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).
Twórcy
  • 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
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