• DocumentCode
    2612668
  • Title

    Depth assessment by using qualitative stereo-vision

  • Author

    Xie, M. ; Lee, C.M. ; Li, Z.Q. ; Ma, S.D.

  • Author_Institution
    Nanyang Technol. Inst., Singapore
  • Volume
    2
  • fYear
    1997
  • fDate
    28-31 Oct 1997
  • Firstpage
    1446
  • Abstract
    Presents a method for assessing the distance between a mobile robot and an obstacle. The idea is to make use of stereo cameras that are mounted on a pan-tilt platform (the pan-tilt device itself is mounted on the mobile robot). When an obstacle is encountered, the pan-tilt device drives the stereo cameras to an orientation such that the left and right images of the obstacle are in a symmetrical position with respect to the vertical central line of the horizontally aligned stereo images. In this configuration, the distance between the left and right images of the obstacle is a function of the depth between the mobile robot and the obstacle. We qualitatively establish this relationship by using a look-up table or a 2D graph to avoid the need to do 3D reconstruction. Therefore, no calibration is needed to determine the intrinsic/extrinsic parameters of the stereo vision
  • Keywords
    distance measurement; graphs; mobile robots; path planning; robot vision; stereo image processing; symmetry; table lookup; 2D graph; calibration; depth assessment; extrinsic parameters; horizontally aligned stereo images; intrinsic parameters; lookup table; mobile robot; obstacle distance assessment; pan-tilt platform; qualitative stereo vision; stereo cameras; symmetrical images; vertical central line; Calibration; Cameras; Distance measurement; Image reconstruction; Laser beams; Layout; Mobile robots; Motion control; Robot vision systems; Stereo vision; Table lookup;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4253-4
  • Type

    conf

  • DOI
    10.1109/ICIPS.1997.669258
  • Filename
    669258