• DocumentCode
    3017061
  • Title

    Indoor SLAM using a range-augmented omnidirectional vision

  • Author

    Cortes, B. Bacca ; Solé, X. Cufí ; Salví, J.

  • Author_Institution
    Univ. del Valle, Univ. of Girona, Girona, Spain
  • fYear
    2011
  • fDate
    6-13 Nov. 2011
  • Firstpage
    280
  • Lastpage
    287
  • Abstract
    A promising combination of sensors as a laser range finder and an omnidirectional camera can be used to extract rich 3D information from indoor environments for robot mapping and localization. This paper presents an implementation of FastSLAM using 3D vertical edges retrieved from a range-augmented omnidirectional vision sensor. Our sensor model in conjunction with the FastSLAM algorithm solves the indoor Simultaneous Localization and Mapping problem. The real world experiment to validate our approach used a Pioneer-3DX mobile robot equipped with a URG-04LX laser range finder and an omnidirectional camera.
  • Keywords
    SLAM (robots); image sensors; laser ranging; mobile robots; robot vision; FastSLAM; Indoor SLAM; Pioneer-3DX mobile robot; URG-04LX laser range finder; omnidirectional camera; range-augmented omnidirectional vision sensor; robot mapping; simultaneous localization and mapping problem; Atmospheric measurements; Buildings; Cameras; Feature extraction; Lasers; Simultaneous localization and mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-0062-9
  • Type

    conf

  • DOI
    10.1109/ICCVW.2011.6130254
  • Filename
    6130254