• DocumentCode
    2352076
  • Title

    SLAM for mobile robot based on interactive GUI

  • Author

    Jia, Songmin ; Yang, Hao ; Li, Xiuzhi ; Fu, Wei

  • Author_Institution
    Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    1308
  • Lastpage
    1313
  • Abstract
    As we all know that, SLAM (Simultaneous Localization and Mapping) are vital for mobile robot. This paper presents a method of map building using interactive GUI (Graphical User Interface) for an indoor service mobile robot because of the uncertainty of the sensors. What´s more, the operator can modify the map compared with the real-time video from the web camera of the mobile robot. In the proposed system, EKF (Extended Kalman Filter) was used to improve the precision of self-localization of the mobile robot. This paper also introduces the architecture of the proposed system and gives some experimental results.
  • Keywords
    Kalman filters; SLAM (robots); control engineering computing; graphical user interfaces; mobile robots; SLAM; extended Kalman filter; graphical user interface; indoor service mobile robot; interactive GUI; map building; mobile robot self-localization; real-time video; simultaneous localization and mapping; Algorithm design and analysis; Buildings; Fitting; Graphical user interfaces; Kalman filters; Mobile robots; Sensors; Data processing; LRF; map building; mobile robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5588080
  • Filename
    5588080