• DocumentCode
    2685974
  • Title

    On the bending problem for large scale mapping

  • Author

    Esteban, I. ; Booij, O. ; Dijk, J. ; Groen, F.

  • Author_Institution
    Intell. Syst. Lab. Amsterdam, Univ. of Amsterdam, Amsterdam, Netherlands
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    1144
  • Lastpage
    1149
  • Abstract
    During simultaneous localization and mapping, geometrical constraints are established between map features. These constraints, introduced through measurements and motion prediction, produce a bending effect in the event of closing a large loop. In this paper we present a discussion of the bending problem for trajectory based representations. Furthermore, we propose a generic approach to reduce the bending effect that exploits common geometrical constraints in human-made environments through the use of a heading based curvature measurement. We show by means of experimental results that our approach increases significantly both the global and local map accuracy.
  • Keywords
    SLAM (robots); bending; motion control; position control; bending problem; geometrical constraint; heading based curvature measurement; large scale mapping; motion prediction; simultaneous localization and mapping; trajectory based representation; Delay estimation; Intelligent robots; Large-scale systems; Safety; Security; Shape measurement; Simultaneous localization and mapping; State estimation; USA Councils; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354490
  • Filename
    5354490