• DocumentCode
    2517541
  • Title

    Free space and speed humps detection using lidar and vision for urban autonomous navigation

  • Author

    Fernández, C. ; Gavilán, M. ; Llorca, D.F. ; Parra, I. ; Quintero, R. ; Lorente, A.G. ; Vlacic, Lj ; Sotelo, M.A.

  • Author_Institution
    Comput. Eng. Dept., Univ. of Alcala, Madrid, Spain
  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    698
  • Lastpage
    703
  • Abstract
    In this paper, a real-time free space detection system is presented using a medium-cost lidar sensor and a low cost camera. The extrinsic relationship between both sensors is obtained after an off-line calibration process. The lidar provides measurements corresponding to 4 horizontal layers with a vertical resolution of 3.2 degrees. These measurements are integrated in time according to the relative motion of the vehicle between consecutive laser scans. A special case is considered here for Spanish speed humps, since these are usually detected as an obstacle. In Spain, speed humps are directly related with raised zebra-crossings so they should have painted white stripes on them. Accordingly the conditions required to detect a speed hump are: detect a slope shape on the road and detect a zebra crossing at the same time. The first condition is evaluated using lidar sensor and the second one using the camera.
  • Keywords
    calibration; cameras; image resolution; optical radar; optical scanners; road safety; road traffic; road vehicles; traffic engineering computing; velocity measurement; LIDAR sensor; Spanish road safety; Spanish speed humps; camera; extrinsic relationship; free space detection system; horizontal layers; laser scans; obstacle detection; offline calibration process; slope shape detection; speed hump detection system; urban autonomous navigation; vehicle motion; vertical resolution; white stripes; zebra-crossings; Cameras; Laser radar; Lasers; Measurement by laser beam; Roads; Shape; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2012 IEEE
  • Conference_Location
    Alcala de Henares
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4673-2119-8
  • Type

    conf

  • DOI
    10.1109/IVS.2012.6232255
  • Filename
    6232255