• DocumentCode
    181915
  • Title

    Robust dazzling detection in a novel visual based dazzling avoidance system

  • Author

    Liu, Xindong ; Leu, Adrian ; Bacara, D. ; Hainfellner, M. ; Graeser, A.

  • Author_Institution
    Inst. of Autom., Univ. of Bremen, Bremen, Germany
  • fYear
    2014
  • fDate
    8-11 June 2014
  • Firstpage
    833
  • Lastpage
    838
  • Abstract
    This article presents a novel method of detecting the dazzling effect in a new vision based driving assistance system (ShadeVision) which aims to avoid the dazzling effect caused by strong external light sources. Different from existing systems which only detect the dazzling effect at night, our proposed system can also identify the dazzling effect during the day, particularly in dawn and dusk. To that end, the eye region of the driver and other regions surrounding the eyes, the interior of the vehicle, as well as the background light outside the window are all captured by a high speed camera with 1280×500 resolution and a frame rate of 1000 Hz mounted in the vehicle. Afterwards all these data are synthesized and analyzed to determine the dazzling effect. Moreover, the details of dazzling detection method for nighttime and daytime driving are presented explicitly. The final tests verify the effectiveness of our proposed approaches.
  • Keywords
    cameras; driver information systems; image resolution; road safety; road vehicles; ShadeVision; dazzling avoidance system; driving assistance system; high speed camera; robust dazzling detection; Brightness; Cameras; Face; Light sources; Lighting; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium Proceedings, 2014 IEEE
  • Conference_Location
    Dearborn, MI
  • Type

    conf

  • DOI
    10.1109/IVS.2014.6856586
  • Filename
    6856586