• DocumentCode
    313714
  • Title

    A sub-optimal algorithm for automatic map building

  • Author

    Csorba, Michael ; Uhlmann, Jeffrey K. ; Durrant-Whyte, Hugh F.

  • Author_Institution
    Oxford Univ., UK
  • Volume
    1
  • fYear
    1997
  • fDate
    4-6 Jun 1997
  • Firstpage
    537
  • Abstract
    This paper examines the problem of automatically constructing a map of an unknown environment from a vehicle whose location is also unknown. The application of the Kalman filter to this problem is briefly described and the practical limitation of the filter in this context is discussed. A suboptimal algorithm, the relative filter, is introduced that avoids many of the computational and practical problems of the direct Kalman filter approach to this problem. The performance of the full Kalman filter and the relative filter is compared in a real map building scenario
  • Keywords
    covariance matrices; filtering theory; mobile robots; navigation; path planning; position control; state estimation; vehicles; Kalman filter; automatic map building; covariance matrix; position control; relative filter; state estimation; suboptimal algorithm; vehicle; Covariance matrix; Error correction; Filters; Goniometers; Laboratories; Position measurement; State estimation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1997. Proceedings of the 1997
  • Conference_Location
    Albuquerque, NM
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-3832-4
  • Type

    conf

  • DOI
    10.1109/ACC.1997.611857
  • Filename
    611857