• DocumentCode
    2919133
  • Title

    Visual control signals for road following

  • Author

    Raviv, Daniel ; Herman, Martin

  • Author_Institution
    Nat. Inst. of Standards & Technol., Gaithersburg, MD, USA
  • fYear
    1991
  • fDate
    13-15 Aug 1991
  • Firstpage
    436
  • Lastpage
    442
  • Abstract
    A new quantitative, vision-based approach to road following is presented. Road following is considered as a control, rather than a vision, problem. The approach is based on the theoretical framework of the recently developed optical flow-based visual field theory. By building on the theory, it is suggested that motion commands can be generated directly from a visual feature, or cue, consisting of the projection into the image of the tangent point on the edge of the road, along with the optical flow of this point. Using this cue, several different vision-based control approaches are possible
  • Keywords
    computer vision; navigation; pattern recognition; position control; road vehicles; cue; motion commands; navigation; optical flow-based visual field theory; position control; road following; road vehicles; vision-based control; visual feature; Cameras; Image motion analysis; Intelligent robots; Intelligent sensors; Intelligent systems; NIST; Optical sensors; Roads; Robot sensing systems; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1991., Proceedings of the 1991 IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-0106-4
  • Type

    conf

  • DOI
    10.1109/ISIC.1991.187397
  • Filename
    187397