• DocumentCode
    3056529
  • Title

    Navigation by optical flow

  • Author

    Hagen, Espen ; Heyerdahl, Eilert

  • Author_Institution
    Norwegian Defence Res. Estab., Kjeller, Norway
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    700
  • Lastpage
    703
  • Abstract
    A new navigation method based on measurements of image token positions and Kalman filtering is presented. An image token is the central projection of a landmark, a point on the terrain surface. This surface being described by a topographical map, the Kalman filter processes the measurements to update estimates of camera position and orientation, and landmark positions. Tests of an implementation for aeroplane navigation indicate a performance comparable to, or better than, that of satellite navigation systems. The implemented algorithm also seems to have a high tolerance against noise and modelling errors
  • Keywords
    Kalman filters; aircraft; navigation; Kalman filtering; aeroplane; image token positions; landmark positions; navigation; optical flow; topographical map; Cameras; Image motion analysis; Nonlinear equations; Nonlinear optics; Optical filters; Position measurement; Radio navigation; Satellite navigation systems; State estimation; Surface topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2910-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201657
  • Filename
    201657