• DocumentCode
    551615
  • Title

    Integrating topological map for autonomous navigation in unstructured environments

  • Author

    Chen, Qingyang ; Sun, Zhenping ; Liu, Daxue ; Cao, Liu ; Chen, Tongtong

  • Author_Institution
    Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    1
  • fYear
    2011
  • fDate
    25-28 July 2011
  • Firstpage
    185
  • Lastpage
    189
  • Abstract
    To address the local path planning problem for autonomous land vehicle in unstructured environments, this paper will incorporate the topological representation of the local map and a fast A* search. Topological connection of the local map will serve as a navigation function for the computing of heuristic value. To extract the topological representation, polar histogram is constructed iteratively. Outlets of temporal expanded state can be found by wave peak of polar histogram. To improve the efficiency of computing the heuristic value based on topological map, a lazy computing process is adopted. Experimental results show that the proposed method can well resolve the local path planning problem for autonomous land vehicle in unstructured environments, even if the localization of the vehicle may not be very accurate.
  • Keywords
    mobile robots; path planning; remotely operated vehicles; road vehicles; statistical analysis; autonomous land vehicle; autonomous navigation; lazy computing process; path planning problem; polar histogram; topological map; vehicle localization; Green products; Histograms; Navigation; Path planning; Planning; Real time systems; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-0813-8
  • Type

    conf

  • DOI
    10.1109/ICICIP.2011.6008228
  • Filename
    6008228