• DocumentCode
    3061668
  • Title

    Stereo accuracy for collision avoidance

  • Author

    Khan, Waqar ; Morris, John ; Klette, Reinhard

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2009
  • fDate
    23-25 Nov. 2009
  • Firstpage
    67
  • Lastpage
    72
  • Abstract
    In a stereo configuration, the measurable disparity values are integral, therefore the measurable depths are discrete. This can create a trap for a safety system whose purpose is to estimate the trajectory of a moving object, and issue an early warning. Accuracy of this estimation is determined by the samples which have different measurable depths. Change in measurable depths becomes obvious for closer regions, but due to the limited extent of the stereo common field of view for these regions, the object might not be in the common field of view. A velocity estimation algorithm has been created, which takes into account the constraints of stereo, while accurately estimating the object´s trajectory. From examination of various scenarios, we show that a stereo system could be misleading while estimating the object trajectory: it could predict that an object on a collision course is `safe´.
  • Keywords
    collision avoidance; mobile robots; robot vision; stereo image processing; autonomous vehicle navigation system; collision avoidance; measurable disparity values; object trajectory; safety system; stereo accuracy; stereo configuration; velocity estimation algorithm; Collision avoidance; Computer science; Computer vision; Degradation; Mobile robots; Navigation; Pixel; Remotely operated vehicles; Safety; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Vision Computing New Zealand, 2009. IVCNZ '09. 24th International Conference
  • Conference_Location
    Wellington
  • ISSN
    2151-2205
  • Print_ISBN
    978-1-4244-4697-1
  • Electronic_ISBN
    2151-2205
  • Type

    conf

  • DOI
    10.1109/IVCNZ.2009.5378358
  • Filename
    5378358