• DocumentCode
    3097291
  • Title

    Avoiding negative depth in inverse depth bearing-only SLAM

  • Author

    Parsley, Martin P. ; Julier, Simon J.

  • Author_Institution
    Dept. of Comput. Sci., Univ. Coll. London, London
  • fYear
    2008
  • fDate
    22-26 Sept. 2008
  • Firstpage
    2066
  • Lastpage
    2071
  • Abstract
    In this paper we consider ways to alleviate negative estimated depth for the inverse depth parameterisation of bearing-only SLAM. This problem, which can arise even if the beacons are far from the platform, can cause catastrophic failure of the filter.We consider three strategies to overcome this difficulty: applying inequality constraints, the use of truncated second order filters, and a reparameterisation using the negative logarithm of depth. We show that both a simple inequality method and the use of truncated second order filters are successful. However, the most robust performance is achieved using the negative log parameterisation.
  • Keywords
    SLAM (robots); direction-of-arrival estimation; beacons; bearing-only SLAM; inverse depth parameterisation; truncated second order filters; Accuracy; Cameras; Kalman filters; Noise; Robot sensing systems; Uncertainty; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-2057-5
  • Type

    conf

  • DOI
    10.1109/IROS.2008.4651118
  • Filename
    4651118