• DocumentCode
    1950676
  • Title

    A Stereo Matching Approach to Detect Obstacle in ALV System

  • Author

    Yongquan, Xia ; Jun, Zhi ; Min, Huang ; Weili, Li ; Rui, Ma

  • Author_Institution
    Dept. of Comput. & Commun. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1103
  • Lastpage
    1106
  • Abstract
    In ALV system based on stereo vision, the obstacle detection is one of the most important problems. In this paper, an algorithm is proposed based on moment invariant to detect obstacle in ALV system. Firstly, a simple method is applied to binarize the images by the defined binarization function; Secondly, the binarized images are segmented using outer contour tracing algorithm and regions of left and right images are detected respectively; Lastly, the regions are matched between left and right image, the successful matched regions are the likely obstacle. Stereo pairs captured from ALV system are used to test the proposed algorithm, the result indicate that the approach is valid and feasible.
  • Keywords
    image matching; image segmentation; mobile robots; object detection; stereo image processing; vehicles; ALV system; autonomous land vehicle systems; binarization function; binarized images; obstacle detection; outer contour tracing algorithm; stereo matching approach; stereo vision; Computer science; Computer vision; Image motion analysis; Image segmentation; Motion estimation; Optical sensors; Radar detection; Radar tracking; Roads; Software engineering; binarization function; disparity; moment invariant; obstacle detection; stereo matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1071
  • Filename
    4721945