• DocumentCode
    2109012
  • Title

    An obstacle detection algorithm based on U-V disparity map analysis

  • Author

    Zhang, Min ; Liu, Peizhi ; Zhao, Xiaochuan ; Zhao, Xinxin ; Zhang, Yuan

  • Author_Institution
    North Inst. of Comput. Applic., Beijing, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    763
  • Lastpage
    766
  • Abstract
    An obstacle detection algorithm based on U-V disparity map analysis is presented in this paper. We firstly introduce the obstacle detection mechanism using U-V disparity map generated from stereo match disparity map, and then an obstacle detection algorithm based on analysis of U-V disparity map characteristic is described. The combination of straight line fitting and the standard Hough Transform are used in processing the initial disparity map, and the experimental results demonstrate that this algorithm is efficient and has the strong robustness to the change of illumination and obstacles.
  • Keywords
    Hough transforms; collision avoidance; intelligent robots; mobile robots; robot vision; stereo image processing; Hough Transform; U-V disparity map analysis; obstacle detection algorithm; stereo match disparity map; straight line fitting; Algorithm design and analysis; Detection algorithms; Intelligent robots; Lighting; Mobile communication; Pixel; Transforms; U-V disparity map; disparity validation; line fitting; obstacle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Information Security (ICITIS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6942-0
  • Type

    conf

  • DOI
    10.1109/ICITIS.2010.5689679
  • Filename
    5689679