• DocumentCode
    2601147
  • Title

    Real-time image-based topological localization in large outdoor environments

  • Author

    Bradley, David M. ; Patel, Rashmi ; Vandapel, Nicolas ; Thayer, Scott M.

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, NY, USA
  • fYear
    2005
  • fDate
    2-6 Aug. 2005
  • Firstpage
    3670
  • Lastpage
    3677
  • Abstract
    This paper presents a real-time implementation of a topological localization method based on matching image features. This work is supported by a unique sensor pod design that provides stand-alone sensing and computing for localizing a vehicle on a previously traveled road. We report extensive field test results from outdoor environments, with the sensor pod mounted on both a small and a large all-terrain vehicle. Off-line analysis of the approach is also presented to evaluate the robustness of the various image features tested against different weather and lighting conditions.
  • Keywords
    feature extraction; geographic information systems; image matching; navigation; sensors; all-terrain vehicle; image feature matching; real-time image-based topological localization; sensor pod; Cameras; Data mining; Image analysis; Indoor environments; Instruments; Large-scale systems; Road vehicles; Robot sensing systems; Robustness; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-8912-3
  • Type

    conf

  • DOI
    10.1109/IROS.2005.1545442
  • Filename
    1545442