• DocumentCode
    2429401
  • Title

    Low level data fusion of laser and monocular color camera using occupancy grid framework

  • Author

    Baig, Qadeer ; Aycard, Olivier

  • Author_Institution
    INRI A Rhone-Alpes, Univ. of Grenoble 1, Grenoble, France
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    905
  • Lastpage
    910
  • Abstract
    In this paper we have developed a technique for low level data fusion between laser and monocular color camera using occupancy grid framework in the context of internal representation of external environment for object detection. Based on a small variant of background subtraction technique we construct an occupancy grid for camera and fuse it with the one constructed for laser to get a combined view. The results obtained using Cycab simulator prepared by INRIA show the effectiveness of our technique.
  • Keywords
    cameras; grid computing; image sensors; lasers; mobile robots; object detection; robot vision; sensor fusion; Cycab simulator; INRIA; background subtraction technique; camera; laser; low level data fusion; monocular color camera; object detection; occupancy grid framework; robot environment representation; Cameras; Laser beams; Laser fusion; Laser modes; Measurement by laser beam; Pixel; Sensors; Laser-Vision Data Fusion; Occupancy Grids; Robot Environment Representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-7814-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2010.5707407
  • Filename
    5707407