• DocumentCode
    2932453
  • Title

    Local navigation techniques by means of ICPF

  • Author

    Jancik, S. ; Matousek, R. ; Dvorak, J. ; Abbadi, A.

  • Author_Institution
    Inst. of Autom. & Comput. Sci., Brno Univ. of Technol., Brno, Czech Republic
  • fYear
    2012
  • fDate
    3-4 Oct. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The problem of mobile robot navigation is a broad topic and it covers a large spectrum of different methods and technologies. In this paper we will present the new concept for local navigation. The concept is based on object identification technique by means of origin fragment identification algorithm (ICPF). The main idea, theory and practical examples of object identification using ICPF are presented as main goal of the paper. One can use it for robot location and as support information in case of following local path planning. We also sketch in two different possibilities for image data measuring. The post-process of the antecedent steps can be local path planning of course.
  • Keywords
    mobile robots; path planning; ICPF; fragment identification algorithm; image data measurement; local navigation techniques; local path planning; mobile robot navigation; object identification technique; Iterative closest point algorithm; Mobile robots; Navigation; Object recognition; Robot sensing systems; Shape; ICPF; image object identification; local navigation; mobile robot; path planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Positioning, Indoor Navigation, and Location Based Service (UPINLBS), 2012
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4673-1908-9
  • Type

    conf

  • DOI
    10.1109/UPINLBS.2012.6409779
  • Filename
    6409779