• DocumentCode
    3312375
  • Title

    A Hough-based method for concurrent mapping and localization in indoor environments

  • Author

    Lorenzo, J. M Perez ; Vazquez-Martin, R. ; Nunez, P. ; Pérez, E.J. ; Sandoval, F.

  • Author_Institution
    Departamento de Tecnologia Electronica, Malaga Univ., Spain
  • Volume
    2
  • fYear
    2004
  • fDate
    1-3 Dec. 2004
  • Firstpage
    840
  • Abstract
    This paper proposes a method to solve the simultaneous localization and map building problem based on segments extracted from local sonar based occupation maps. These segments are categorized as new obstacle boundaries of a simultaneously built global segment-based map or as prolongations of previously extracted boundaries. The method is adequate for indoor office-like environments, specially for those environments that can be suitable modelled by a set of segments. The method has been proved in several experiments in the same indoor environment with successful results.
  • Keywords
    Hough transforms; feature extraction; image segmentation; mobile robots; path planning; Hough-based method; autonomous mobile robotic navigation; concurrent mapping and localization; global segment-based map; indoor office-like environments; local sonar based occupation maps; obstacle boundaries; simultaneous localization and map building problem; Clustering algorithms; Indoor environments; Mobile robots; Navigation; Path planning; Probability density function; Robot sensing systems; Simultaneous localization and mapping; Sonar measurements; Telecommunications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics, 2004 IEEE Conference on
  • Print_ISBN
    0-7803-8645-0
  • Type

    conf

  • DOI
    10.1109/RAMECH.2004.1438027
  • Filename
    1438027