• DocumentCode
    3359488
  • Title

    Laser-scanner grid map building based on Dempster-Shafer evidence theory

  • Author

    Cao, Hongyu ; Sun, Hanxu ; Jia, Qingxuan ; Ye, Ping ; Shi, Chengkun

  • Author_Institution
    Sch. of Autom., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    4930
  • Lastpage
    4935
  • Abstract
    A method of constructing a grid map based on Dempster-Shafer evidence theory (D-S evidence theory) is proposed with respect to the problem of unstructured unknown environment mapping. Mobile robot explores environment with a laser scanner. D-S evidence theory is used to fuse information. The problem that D-S evidence theory can´t be applied to information fusion under certain circumstances and the matter that D-S evidence theory have counter-intuitive behaviors in some cases are discussed. An approximate process algorithm is advanced to avoid above problems. Finally, A two-dimensional grid map is built and a way of evaluating the environment and environment exploration effect is suggested. Simulation result shows that this method is appropriate for unstructured unknown environment mapping.
  • Keywords
    cartography; inference mechanisms; mobile robots; optical scanners; path planning; uncertainty handling; 2D grid map; Dempster-Shafer evidence theory; approximate process algorithm; counter-intuitive behaviors; information fusion; laser-scanner grid map building; mobile robot; unstructured unknown environment mapping; Automation; Buildings; Fuses; Laser fusion; Laser noise; Laser theory; Mechatronics; Mobile robots; Path planning; Sun; Dempster-Shafter evidence theory; grid map; information fusion; laser scanner; mobile robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246030
  • Filename
    5246030