• DocumentCode
    3528393
  • Title

    Validation and benchmarking for pedestrian video detection based on a sensors simulation platform

  • Author

    Bossu, Jérémie ; Gruyer, Dominique ; Smal, Jean Christophe ; Blosseville, Jean Marc

  • Author_Institution
    LEMCO (INRETS), Versailles-Satory, France
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    115
  • Lastpage
    122
  • Abstract
    The evaluation stage is an important part in the validation of ADAS robustness. Moreover, the control and the repetitiveness of the experimentations were very difficult to conduct on real road due to safety reasons. Moreover, the lack of data/sensors or the complexity of the experiment are often very penalizing for a correct and exhaustive evaluation. It is for these reasons that LIVIC launched the development of a software simulation architecture (SIVTC), to support its research activities on ADAS. The use of such a simulation platform can provide both simulated sensors data and a ground truth reference for the validation stages.
  • Keywords
    computational complexity; computer vision; image sensors; object detection; traffic engineering computing; video signal processing; ADAS robustness; SIVTC; exhaustive evaluation; pedestrian video detection; sensors simulation platform; software simulation architecture; Cameras; Detection algorithms; Intelligent vehicles; Mathematical model; Protocols; Road safety; Testing; USA Councils; Vehicle dynamics; Virtual prototyping;
  • 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.2010.5548031
  • Filename
    5548031