• DocumentCode
    1607116
  • Title

    A Simple Landmark Model for Vision-based Simultaneous Localization and Mapping

  • Author

    Nguyen, Xuan-Dao ; You, Bum-Jae ; Oh, Sang-Rok

  • Author_Institution
    Intelligent Robot Res. Center, Korea Inst. of Sci. & Technol., Seoul
  • fYear
    2006
  • Firstpage
    5016
  • Lastpage
    5021
  • Abstract
    Vision-based simultaneous localization and mapping algorithms using natural landmarks, while compelling in theory, have not until recently been considered extensive in practical real world. After years of research into natural landmark model, we propose the deployment of a simple but powerful landmark model. Our focus in this paper is not on SLAM algorithm can be made omniscient, reliable, and robust, but rather on presenting a novel approach for the pose estimation of the landmark model that could be integrated in V-SLAM. The pose estimation algorithm has been applied for indoor navigation successfully
  • Keywords
    SLAM (robots); mobile robots; path planning; pose estimation; robot vision; V-SLAM; indoor mobile robots; indoor navigation; natural landmark model; pose estimation algorithm; vision-based simultaneous localization-mapping algorithm; Cameras; Navigation; Particle filters; Robot control; Robot sensing systems; Robot vision systems; Robustness; Simultaneous localization and mapping; Time measurement; Working environment noise; Natural landmark; P2L; V-SLAM; localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.315096
  • Filename
    4108573