• DocumentCode
    1701070
  • Title

    Computer generated images for path following for an unmanned vehicle

  • Author

    Seals, R.C. ; Twum, E.

  • Author_Institution
    Greenwich Univ., UK
  • fYear
    1993
  • fDate
    12/9/1993 12:00:00 AM
  • Firstpage
    42370
  • Lastpage
    42377
  • Abstract
    A method of path following for an unmanned vehicle using previously taken video sequences has been shown to be viable. This system has now been extended to use computer generated video sequences to control the path-following capabilities of the full-size vehicle. The system operates by `matching´ live incoming video images of the unmanned vehicle´s environment with previously obtained snapshots or computer generated images. There is a detectable correlation between the incoming video and previously obtained video sequences provided that the vehicle is `roughly´ aligned with the previous path. The accuracy at present is not particularly high but is acceptable for the control of the unmanned vehicle. The accuracy can be improved by continuously tracking the correlation between video snapshots over a period of time and by taking the original video images close together
  • Keywords
    computer vision; image sequences; mobile robots; path planning; accuracy; computer generated images; computer generated video sequences; continuous tracking; correlation; image matching; path following; unmanned vehicle; vehicle alignment; video snapshots;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing for Transport Applications, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    280230