• DocumentCode
    716435
  • Title

    Adaptive rectangular cuboids for 3D mapping

  • Author

    Khan, Sheraz ; Wollherr, Dirk ; Buss, Martin

  • Author_Institution
    Autom. Control Eng., Tech. Univ. Munchen, München, Germany
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    2132
  • Lastpage
    2139
  • Abstract
    This paper presents an extension of the standard occupancy grid for 3D environment mapping. The presented approach adds a fusion process after the occupancy update which modifies the resolution of the grid cells in an incremental manner. Consequently, the proposed approach requires fewer grid cells for 3D representation in comparison to a standard occupancy grid. The resolution adaptation process is based on the occupancy probabilities of the grid cells and leads to the relaxation of the cubic grid cell assumption common to most 3D occupancy grids. The aim of this paper is to show the advantage of the proposed incremental fusion process which leads to the approximation of the 3D environment using rectangular cuboids. Evaluation on a large scale dataset and comparison to the state of the art shows that the proposed approach has faster access time for all occupied grid cells and requires a smaller number of cells for 3D environment representation.
  • Keywords
    collision avoidance; computational geometry; graph theory; mobile robots; navigation; probability; sensor fusion; 3D environment approximation; 3D environment mapping; 3D environment representation; 3D mapping; 3D occupancy grid; 3D representation; adaptive rectangular cuboids; autonomous agent navigation; cubic grid cell assumption relaxation; grid cell resolution; incremental fusion process; obstacle avoidance; occupancy probability; occupancy update; resolution adaptation process; Data structures; Fuses; Laser beams; Robot sensing systems; Standards; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139480
  • Filename
    7139480