• DocumentCode
    1867663
  • Title

    The generation of environmental map based on a NDT grid mapping -Proposal of convergence calculation corresponding to high resolution grid-

  • Author

    Kaminade, Takuya ; Takubo, Tomohito ; Mae, Yasushi ; Arai, Tatsuo

  • Author_Institution
    Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    1874
  • Lastpage
    1879
  • Abstract
    The paper presents a new convergence calculation method of the normal distributions transform (NDT) scan matching for high resolution grid map. The proposed method employs interactive closest point (ICP) algorithm to find corresponding point, even if the input scan points are in the outside of the reference grid area. It also enlarges the convergence area by modifying the eigenvalue of normal distribution so that the evaluation value can be driven effectively by all the pairing data for improving convergence speed. In the normal NDT scan matching algorithm, the grid size especially has much effect on the capability of convergence area and speed. Thus, it is difficult to generate the detailed map with small grids. The proposed convergence approach can solve the problem by the phased adjustment of convergence area. Experimental result shows the feasibility of the detailed environmental map generated by the NDT grid mapping.
  • Keywords
    SLAM (robots); convergence; eigenvalues and eigenfunctions; mobile robots; robot vision; transforms; convergence calculation; eigenvalue; environmental map generation; grid mapping; interactive closest point algorithm; mobile robot; normal distributions transform scan matching; simultaneous localization and mapping; Convergence; Eigenvalues and eigenfunctions; Gaussian distribution; Iterative algorithms; Iterative closest point algorithm; Mesh generation; Robotics and automation; Robots; Simultaneous localization and mapping; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543480
  • Filename
    4543480