• DocumentCode
    3157812
  • Title

    On-vehicle video-based parking lot recognition with fisheye optics

  • Author

    Houben, Sebastian ; Komar, Maria ; Hohm, Andree ; Luke, Stefan ; Neuhausen, Marcel ; Schlipsing, Marc

  • Author_Institution
    Inst. for Neural Comput., Univ. of Bochum, Bochum, Germany
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    The search for free parking space in a crowded car park is a time-consuming and tedious task. Today´s park assistance systems provide the driver with acoustic or visual feedback when approaching an obstacle or semi-autonomously navigate the vehicle into the parking lot. However, finding a free parking lot is usually left to the driver. In this paper, we address this search problem via video sensors only. This can be used as a help to the driver to quickly pass a parking deck and, more important, can be regarded as a cornerstone to fully autonomously parking vehicles.
  • Keywords
    image sensors; object recognition; traffic engineering computing; video signal processing; acoustic feedback; car park; fisheye optics; on-vehicle video-based parking lot recognition; park assistance systems; parking space; vehicle navigation; video sensors; visual feedback; Accuracy; Calibration; Cameras; Estimation; Image processing; Sensors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on
  • Conference_Location
    The Hague
  • Type

    conf

  • DOI
    10.1109/ITSC.2013.6728595
  • Filename
    6728595