• DocumentCode
    3267307
  • Title

    Discrimination of an Approaching Vehicle at an Intersection Using a Monocular Camera

  • Author

    Eguchi, Junji ; Koike, Hiroyuki

  • Author_Institution
    Honda R&D Co., Ltd., Tochigi
  • fYear
    2007
  • fDate
    13-15 June 2007
  • Firstpage
    618
  • Lastpage
    623
  • Abstract
    A method of discriminating an approaching vehicle was devised for the purpose of constructing a visual driver assistance system at an intersection using a monocular camera. When a monocular camera is used, it is basically difficult to acquire distance information, so vehicle detection and discrimination of approaching vehicles without the use of distance information are associated issues. In this research, the presence of a vehicle at an intersection is detected by classifying the region on the image that has the shape of the vehicle, and the degree of the vehicle approach is discriminated by comparing the motion vector of the vehicle with the subject vehicle´s direction of movement. By performing a test using this method, it was confirmed that it is possible to discriminate approaching vehicles.
  • Keywords
    cameras; driver information systems; image classification; image sequences; object detection; road accidents; road traffic; road vehicles; image classification; monocular camera; motion vector; optical flow; road accident; road traffic; vehicle detection; vehicle discrimination; visual driver assistance system; Intelligent vehicles; Motion detection; Performance evaluation; Research and development; Road accidents; Shape; Smart cameras; Testing; Vehicle detection; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2007 IEEE
  • Conference_Location
    Istanbul
  • ISSN
    1931-0587
  • Print_ISBN
    1-4244-1067-3
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2007.4290184
  • Filename
    4290184