• DocumentCode
    3582832
  • Title

    Topological map building for mobile robots based on thining algorithm

  • Author

    Shan-Shan Xue ; Yong Zhang ; Jin Cheng ; Qin-Jun Zhao

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Jinan, Jinan, China
  • fYear
    2014
  • Firstpage
    119
  • Lastpage
    123
  • Abstract
    With the development of science and technology, mobile robots have more and more extensive applications to complete the task in unknown environment. Create the environmental map of the unknown space is a key to control and navigation of mobile robots. We focus on the related problems of topological map building in unknown environment. The main studies undertaken in this paper are listed as follows: firstly, the paper introduces the research background and points out the present problems of map building. Secondly, topological map is built based on thinning algorithm which is commonly used in image processing of recognition. This avoids producing un-necessary nodes and paths. The environment is modeled in grid map, next the thinning algorithm is applied in the map, and then the effective topological information is extracted. Finally, simulation results show that the topological map based on thinning is clear, simple and effective. Moreover this topological map reduces information storage memory. This will improve the ability of autonomous operation, navigation and path planning further.
  • Keywords
    computational geometry; mobile robots; path planning; grid map; image processing; image recognition; information storage memory reduction; mobile robots; path planning; robot control; robot navigation; thining algorithm; topological information; topological map building; Algorithm design and analysis; Buildings; Data mining; Mobile robots; Robot sensing systems; Topology; Mobile robots; Thinning algorithm; Topological map building; Voronoi diagram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
  • Print_ISBN
    978-1-4799-7207-4
  • Type

    conf

  • DOI
    10.1109/ICCWAMTIP.2014.7073374
  • Filename
    7073374