• DocumentCode
    497564
  • Title

    Evidence based analysis of internal conflicts caused by disparity inaccuracy

  • Author

    Ike, Thorsten ; Grabe, Baerbel ; Knigge, Florian ; Hoetter, Michael

  • Author_Institution
    Inst. of Innovation-Transfer, Univ. of Appl. Sci. & Arts Hannover, Hannover, Germany
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    2263
  • Lastpage
    2268
  • Abstract
    For future driver assistance and safety systems highly reliable and comprehensive maps of the car´s environment are needed. The map quality depends highly on the accuracy and the interpretation of a given set of measurements. This contribution introduces two metrics derived from Dempster-Shafer theory. By means of these metrics two different inverse sensor models are compared. This comparison is done for two given sets of data from a stereo video sensor with pixel and subpixel accuracy. The introduced metrics reflect the abilities of the inverse sensor models to build reliable and comprehensive maps. Furthermore they show the connection between these abilities, the inverse sensor model parameter and the measurement accuracy.
  • Keywords
    automobiles; case-based reasoning; driver information systems; image sensors; road safety; stereo image processing; video signal processing; Dempster-Shafer theory; car environment; disparity inaccuracy; driver assistance system; evidence based analysis; internal conflict; inverse sensor model; safety system; stereo video sensor; subpixel accuracy; Art; Control systems; Information analysis; Inverse problems; Mobile robots; Remotely operated vehicles; Safety; Sensor fusion; Sensor phenomena and characterization; Shape measurement; Data fusion; evidence theory; internal conflict; inverse sensor models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2009. FUSION '09. 12th International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-0-9824-4380-4
  • Type

    conf

  • Filename
    5203656