• DocumentCode
    282053
  • Title

    A Fourier-transform based method for autonomous path following

  • Author

    Gray, W.

  • Author_Institution
    Intelligent Syst. Div., RARDE, Chertsey, UK
  • fYear
    1989
  • fDate
    32665
  • Firstpage
    42491
  • Lastpage
    510
  • Abstract
    The problem addressed is that of finding the centre of a poorly defined path, for the purpose of allowing a vehicle to navigate the path autonomously. A cross-path profile is processed by some form of edge-enhancement, and thresholded. The poor definition of a semi-natural path means that applicable methods should not use small-scalelength detail, but rather should look at broad features and trends of the scene. The algorithm described arises from considering various possible `abstract´ properties of a scene. It is postulated that, if a vehicle has safely reached a given point, the future path would probably continue to be safe in the direction of maximum scene symmetry. The algorithm has been used to guide a small electric vehicle along a roughly painted track indoors. The fast-Fourier transform (of 32 pixels), with phase-unwrapping, took, less than 20 msec on a PDP LSI 11
  • Keywords
    computer vision; computerised navigation; computerised pattern recognition; fast Fourier transforms; mobile robots; autonomous vehicles; computer vision; computerised navigation; cross-path profile; edge-enhancement; fast-Fourier transform; mobile robots; path following; phase-unwrapping; scene symmetry;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Off-Highway Vehicle Control Systems, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    198592