• DocumentCode
    3529728
  • Title

    Sensor fusion-based pedestrian collision warning system with crosswalk detection

  • Author

    Suzuki, Shigetaka ; Raksincharoensak, Pongsathorn ; Shimizu, Ikuko ; Nagai, Masao ; Adomat, Rolf

  • Author_Institution
    Dept. of Mech. Syst. Eng., Tokyo Univ. of Agric. & Technol., Koganei, Japan
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    355
  • Lastpage
    360
  • Abstract
    This paper describes a pedestrian collision warning system with crosswalk detection feature based on sensor fusion of a monocular camera and a millimeter wave radar. The method to decide about the presence of a pedestrian is based on the assumption that objects moving along a crosswalk can be interpreted as pedestrians under certain circumstances. The advantage of the described solution is its robustness and effectiveness since it is limited to crosswalks. The camera can be used to detect the crosswalk. Data from both sensors can then be used to infer about the presence of a pedestrian. The sensor fusion algorithm which combines data from the sensors is explained. Then the paper describes a warning concept which provides auditory alarm and visual information about the presence of a crosswalk as well as pedestrians to a driver, depending on the estimated collision probability. Finally, test drives on an experimental vehicle are presented and the results verify that the proposed warning system is running in practice.
  • Keywords
    collision avoidance; probability; sensor fusion; traffic engineering computing; collision probability; crosswalk detection; millimeter wave radar; monocular camera; pedestrian collision warning system; sensor fusion; visual information; Alarm systems; Cameras; Computer vision; Millimeter wave radar; Millimeter wave technology; Radar detection; Robustness; Sensor fusion; Sensor systems; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2010 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-7866-8
  • Type

    conf

  • DOI
    10.1109/IVS.2010.5548120
  • Filename
    5548120