• DocumentCode
    2502814
  • Title

    Development of a Bayesian recursive algorithm to find free-spaces for an intelligent wheelchair

  • Author

    Nguyen, Anh V. ; Su, Steven ; Nguyen, Hung T.

  • Author_Institution
    Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, Broadway, NSW, Australia
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    7250
  • Lastpage
    7253
  • Abstract
    This paper introduces a new shared control strategy for an intelligent wheelchair using a Bayesian recursive algorithm. Using the local environment information gathered by a laser range finder sensor and commands acquired through a user interface, a Bayesian recursive algorithm has been developed to find the most appropriate free-space, which corresponds to the highest posterior probability value. Then, an autonomous navigation algorithm will assist to manoeuvre the wheelchair in the chosen free-space. Experiment results demonstrate that the new method provides excellent performance with great flexibility and fast response.
  • Keywords
    belief networks; optical sensors; probability; recursive estimation; user interfaces; wheelchairs; Bayesian recursive algorithm; autonomous navigation algorithm; free-space; intelligent wheelchair; laser range finder sensor; local environment information; posterior probability value; user interface; Bayesian methods; Conferences; Heuristic algorithms; Navigation; User interfaces; Wheelchairs; Algorithms; Artificial Intelligence; Bayes Theorem; Biomedical Engineering; Computers; Equipment Design; Humans; Models, Statistical; Probability; Reproducibility of Results; Robotics; Signal Processing, Computer-Assisted; User-Computer Interface; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091832
  • Filename
    6091832