• DocumentCode
    1902572
  • Title

    Video and disparity compression for automotive stereo vision algorithms

  • Author

    Forster, J. ; Wagner, Rene ; Wuenschmann, J. ; Schweiger, Roland ; Terzis, Andreas ; Rothermel, Albrecht

  • Author_Institution
    Group Res. & Adv. Eng., Daimler AG, Ulm, Germany
  • fYear
    2012
  • fDate
    3-5 Sept. 2012
  • Firstpage
    205
  • Lastpage
    208
  • Abstract
    This paper introduces a compression system for automotive stereo algorithms. We propose a method to compress video, disparity and occlusion information based on a 12 bit per pixel H.264/AVC encoder. A rate allocation parameter controls the available bit rate between video and disparity. In addition, the occlusion information is lossless encoded into the bit stream. For driver assistance systems that rely on the disparity information, a higher bit rate can be allocated for the disparity to obtain a better accuracy.
  • Keywords
    data compression; driver information systems; hidden feature removal; stereo image processing; video coding; visual perception; H.264-AVC encoder; automotive stereo vision algorithm; disparity compression; driver assistance system; occlusion information compression; rate allocation parameter control; video compression; Automotive engineering; Bit rate; Cameras; Image coding; PSNR; Resource management; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Berlin (ICCE-Berlin), 2012 IEEE International Conference on
  • Conference_Location
    Berlin
  • ISSN
    2166-6814
  • Print_ISBN
    978-1-4673-1546-3
  • Type

    conf

  • DOI
    10.1109/ICCE-Berlin.2012.6336449
  • Filename
    6336449