• DocumentCode
    1844537
  • Title

    3D robot sensing from sonar and vision

  • Author

    Akbarally, Huzefa ; Kleeman, Lindsay

  • Author_Institution
    Intelligent Robotics Res. Centre, Monash Univ., Clayton, Vic., Australia
  • Volume
    1
  • fYear
    1996
  • fDate
    22-28 Apr 1996
  • Firstpage
    686
  • Abstract
    Describes a sensor that fuses sonar and visual data to create a three dimensional (3D) model of the environment with application to robot navigation. The environment is characterized by a set of connected horizontal and vertical lines. 3D sonar data is augmented by making deductions concerning the connection and definition of lines in 2D visual data. Any errors that may result from incorrect interpretation of the 2D camera data, such as false connections between lines, can be detected by moving the robot. Experimental results from the sensor are presented
  • Keywords
    CCD image sensors; mobile robots; navigation; path planning; robot vision; sensor fusion; 2D visual data; 3D model; 3D robot sensing; 3D sonar data; robot navigation; vision; Cameras; Intelligent robots; Intelligent sensors; Robot sensing systems; Robot vision systems; Sensor arrays; Sensor fusion; Sensor systems; Sonar detection; Sonar navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-2988-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1996.503854
  • Filename
    503854