• DocumentCode
    3052293
  • Title

    T-SLAM: Registering topological and geometric maps for robot localization in large environments

  • Author

    Ferreira, F. ; Amorim, I. ; Rocha, R. ; Dias, J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Coimbra, Coimbra
  • fYear
    2008
  • fDate
    20-22 Aug. 2008
  • Firstpage
    392
  • Lastpage
    398
  • Abstract
    This article reports on a map building method that integrates topological and geometric maps created independently using multiple sensors. The procedure is termed T-SLAM to emphasize the integration of Topological and local Geometric maps that are created using a SLAM algorithm. The topological and metric representations are created independently, being local metric maps associated with topological places and registered at the topological level. The T-SLAM approach is mathematically formulated and applied to the localization problem within the Intelligent Robotic Porter System (IRPS) project, which is aimed at deploying mobile robots in large environments (e.g. airports). Some preliminary experimental results demonstrate the validity of the proposed method.
  • Keywords
    SLAM (robots); cartography; mobile robots; navigation; Intelligent Robotic Porter System project; SLAM algorithm; T-SLAM; geometric map registration; map building; mobile robots; multiple sensors; robot localization; topological map registration; Airports; Hidden Markov models; Intelligent robots; Intelligent systems; Mobile robots; Motion control; Robot localization; Robot sensing systems; Sensor systems; Simultaneous localization and mapping; Robot Localization; SLAM Geometric Maps; Topological Maps; View-based Localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 2008. IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-2143-5
  • Electronic_ISBN
    978-1-4244-2144-2
  • Type

    conf

  • DOI
    10.1109/MFI.2008.4648097
  • Filename
    4648097