• DocumentCode
    3288421
  • Title

    3 known landmarks are enough for solving planar bearing SLAM and fully reconstruct unknown inputs

  • Author

    Belo, Felipe A W ; Salaris, Paolo ; Bicchi, Antonio

  • Author_Institution
    Interdept. Res. Center "Enrico Piaggio", Univ. of Pisa, Pisa, Italy
  • fYear
    2010
  • fDate
    18-22 Oct. 2010
  • Firstpage
    2539
  • Lastpage
    2545
  • Abstract
    In this paper we show that for an observer moving in the plane with no other information than the measurement of relative bearing to three known landmarks, it is possible to completely reconstruct its position and velocity. In particular this applies to the case where no model of the vehicle, nor odometry or acceleration measurements are available. Furthermore, in the same hypotheses, the position of any further landmark can be reconstructed from its bearing only. These results are more general than what is currently known on nonlinear observability of the SLAM problem, which relies on known observer velocities. Our results are also more general than the 2D version of known structure-from-motion observability results, which assume unknown but constant velocities. The proposed method is used to build a nonlinear observer directly applicable to a range of problems from computer vision to autonomous visual navigation.
  • Keywords
    SLAM (robots); acceleration measurement; direction-of-arrival estimation; distance measurement; mobile robots; nonlinear estimation; observability; observers; robot vision; velocity measurement; autonomous visual navigation; computer vision; known landmark; nonlinear observability; odometry; planar bearing SLAM; relative bearing; structure from motion observability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on
  • Conference_Location
    Taipei
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4244-6674-0
  • Type

    conf

  • DOI
    10.1109/IROS.2010.5648896
  • Filename
    5648896