• DocumentCode
    2525725
  • Title

    A Simulation System for Simultaneous Localization and Mapping of Mobile Robots

  • Author

    Dai, Xuefeng ; Lv, Dan ; Liu, Shudong ; Shi, Yan

  • Author_Institution
    Inst. of Robotics, Qiqihar Univ.
  • Volume
    3
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    233
  • Lastpage
    236
  • Abstract
    In this paper, an effective simulation system is proposed for wheeled mobile robots to verify simultaneous localization and mapping algorithms. Its components and function are described in detail. In map building, a line-based representation of the environment is adopted. Line parameters are extracted from range scans, and the corresponding covariance matrices are computed from the statistical characteristics of the raw data. The simulation system makes the design of algorithms less depend on each others and be easily used to test new algorithms. The proposed scheme is validated through numerical simulations
  • Keywords
    covariance matrices; feature extraction; mobile robots; object-oriented programming; statistical analysis; SLAM simulation system; covariance matrix; line-based representation; localization algorithm; mapping algorithm; numerical simulation; object-oriented programming; statistical analysis; wheeled mobile robot; Computational modeling; Covariance matrix; MATLAB; Mathematical model; Mobile robots; Navigation; Numerical simulation; Object oriented modeling; Robot sensing systems; Simultaneous localization and mapping; Kalman filter; SLAM; data association; extended; feature extraction; object-oriented;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.399
  • Filename
    1692158