• DocumentCode
    2719133
  • Title

    A Global Line Matching algorithm for 2D laser scan matching in regular environment

  • Author

    Qian Cheng ; Xu Yingqiu ; Hui Shen ; Yingzi Tan

  • Author_Institution
    RoboCup Res. Group, Southeast Univ., Nanjing, China
  • fYear
    2010
  • fDate
    26-30 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Some line matching algorithms have been proposed for the laser scan matching problem. But lots of them do the matching between current scan frame and the last one, rather than current frame and the global map. This work proposes a real-time laser scan matching method named Global Line Matching, which matches current scan frame to the global map, leading to a better result. This paper presents the algorithm in detail and shows some applications based on simultaneous localization and mapping (SLAM). Results on a simulated environment (USARSim [1]) are demonstrated, showing that this algorithm is capable of mapping unmodified indoor environment reliably.
  • Keywords
    SLAM (robots); mobile robots; optical scanners; path planning; 2D laser scan matching; USARSim; global line matching algorithm; regular environment; simultaneous localization and mapping; Equations; Lasers; Mathematical model; Reliability; Robot kinematics; Robot sensing systems; automatic exploration; path planning; scan matching; simultaneous localization and mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Safety Security and Rescue Robotics (SSRR), 2010 IEEE International Workshop on
  • Conference_Location
    Bremen
  • Print_ISBN
    978-1-4244-8898-8
  • Electronic_ISBN
    978-1-4244-8899-5
  • Type

    conf

  • DOI
    10.1109/SSRR.2010.5981548
  • Filename
    5981548