• DocumentCode
    2610491
  • Title

    Autonomous Mobile Robot Navigation and Localization Based on Floor Plan Map Information and Sensory Fusion approach

  • Author

    Luo, Ren C. ; Lin, YuChih ; Kao, ChingChung

  • Author_Institution
    Electr. Eng. Dept., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2010
  • fDate
    5-7 Sept. 2010
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    The objective of this paper is to develop a Mobile Robot Navigation and Localization Based on Floor Plan Map Information and Sensory Fusion approach. We have developed map recognition algorithm for recognizing the floor plan and high level multi-sensor topological navigation system utilizing the information to perform navigation tasks. In our algorithm, robot can recognize the floor plan to get enough information automatically like human. First, it recognizes the floor plan map, generates the path to destination and extracts two kinds of landmarks location from floor plan map. One is room plate landmark and the other is passage corner landmark. Second, these landmarks can be detected by camera and ultrasonic sensor in experimental environment. Robot can then navigate to the destination by following these landmarks and generated path. The main contributions of this paper are: 1).floor plan can be reconstructed quickly. 2). It is easier to describe the destination for user.
  • Keywords
    mobile robots; path planning; sensor fusion; autonomous mobile robot localization; autonomous mobile robot navigation; camera; floor plan map information; high level multisensor topological navigation system; passage corner landmark; room plate landmark; sensory fusion approach; ultrasonic sensor; Acoustics; Cameras; Floors; Navigation; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems (MFI), 2010 IEEE Conference on
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4244-5424-2
  • Type

    conf

  • DOI
    10.1109/MFI.2010.5604478
  • Filename
    5604478