• DocumentCode
    1597748
  • Title

    Multirate and event driven Kalman filters for helicopter passive ranging

  • Author

    Sridhar, B. ; Smith, P. ; Suorsa, R. ; Hussien, B.

  • Author_Institution
    NASA Ames Res. Center, Moffett Field, CA, USA
  • fYear
    1992
  • Firstpage
    800
  • Abstract
    The use of passive range estimation methods for helicopters equipped with a single camera and an inertial navigation system is described. It is shown that the same level of estimation accuracy can be maintained by using multirate and event-driven Kalman filters as with a standard Kalman filter, resulting in a substantial reduction in the amount of computation. These results are based on helicopter flight test images. The actual savings will depend on the details of the implementation
  • Keywords
    Kalman filters; aircraft control; computer vision; helicopters; inertial navigation; motion estimation; computer vision; event driven Kalman filters; helicopter; inertial navigation; multirate Kalman filters; optical flow; passive range estimation; Fluid flow measurement; Helicopters; Image motion analysis; Image sensors; Layout; NASA; Object detection; Optical computing; Optical filters; Optical sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1992., First IEEE Conference on
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    0-7803-0047-5
  • Type

    conf

  • DOI
    10.1109/CCA.1992.269745
  • Filename
    269745