• DocumentCode
    2738721
  • Title

    A novel landmark tree based self-localization and path-planning method for an intelligent wheelchair

  • Author

    Xiaojian Zhao ; Li, Zhao Xueen ; Tieniu Tan

  • Author_Institution
    Inst. of Autom., Acad. Sinica, Beijing, China
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    84
  • Lastpage
    89
  • Abstract
    In this paper a novel approach of self-localization for an intelligent wheelchair is presented. Different from previous approaches we adopt a two-stage matching strategy to position control of an intelligent wheelchair, which is necessary if the current location is not known due to re-initialisation or an accident. Based on the landmark tree developed here, we combine a method similar to image-retrieval and a Bayes law based matching algorithm to locate the wheelchair in multiple resolutions, which is related to the requirement of task-completion. A new path-planning algorithm is introduced, which is originated from our landmark tree and is easy to use
  • Keywords
    Bayes methods; handicapped aids; intelligent control; mobile robots; navigation; path planning; pattern matching; position control; trees (mathematics); vehicles; Bayes method; intelligent wheelchair; landmark tree; navigation; path-planning; pattern matching; position control; self-localization; Cameras; Image retrieval; Laboratories; Mobile robots; Path planning; Pattern recognition; Robot vision systems; Shape; Tail; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Interactive Communication, 2000. RO-MAN 2000. Proceedings. 9th IEEE International Workshop on
  • Conference_Location
    Osaka
  • Print_ISBN
    0-7803-6273-X
  • Type

    conf

  • DOI
    10.1109/ROMAN.2000.892475
  • Filename
    892475