• DocumentCode
    596455
  • Title

    Space recognition in multi-floor building environment

  • Author

    Park, Soojin ; Sungbae Cho ; Youngouk Kim

  • Author_Institution
    Sch. of Comput. Sci. Eng., Yonsei Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    26-28 Nov. 2012
  • Firstpage
    439
  • Lastpage
    441
  • Abstract
    Space recognition is one of the essential techniques for service robot. The purpose of this paper is finding out where the floor is collect in similar structural multi-floor building environment. We propose space recognition which is dividing spaces to similar space group and distinct space group and give different weight to each group and calculate state probability. Because our algorithm contains pre-state probability, it is robust for temporary recognition error. In order to evaluate our proposed method, we compared a method which is not applied weighted space recognition and a method which is applied weighted space method. The experiment result shows that our method is suitable for service robot in multi-floor building environment.
  • Keywords
    probability; robot vision; service robots; distinct space group; prestate probability; service robot; structural multifloor building environment; temporary recognition error; weighted space recognition; Ambient intelligence; Robots; Multi-floor environment; Space recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on
  • Conference_Location
    Daejeon
  • Print_ISBN
    978-1-4673-3111-1
  • Electronic_ISBN
    978-1-4673-3110-4
  • Type

    conf

  • DOI
    10.1109/URAI.2012.6463034
  • Filename
    6463034