• DocumentCode
    716430
  • Title

    Extrinsic calibration of a set of 2D laser rangefinders

  • Author

    Fernandez-Moral, Eduardo ; Arevalo, Vicente ; Gonzalez-Jimenez, Javier

  • Author_Institution
    Mapir Group, Univ. de Malaga, Malaga, Spain
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    2098
  • Lastpage
    2104
  • Abstract
    The integration of several 2D laser rangefinders in a vehicle is a common resource employed for 3D mapping, obstacle detection and navigation. The extrinsic calibration between such sensors (i.e. finding their relative poses) is required to exploit effectively the sensor measurements and to perform data fusion. The approaches found in the literature to obtain such calibration either rely on the approximated parameters from the rig construction or propose ad-hoc solutions for specific LRF rigs. In this paper we present a novel solution for the extrinsic calibration of a set of at least three laser scanners from the information provided by the sensor measurements. This method only requires the lasers to observe a common planar surface from different orientations, thus there is no need of any specific calibration pattern. This calibration technique can be used with almost any geometric sensor configuration (except for sensors scanning parallel planes), and constitutes a versatile solution that is accurate, fast and easy to apply. This approach is validated with both simulated and real data.
  • Keywords
    calibration; collision avoidance; laser ranging; mobile robots; pose estimation; robot vision; sensor fusion; 2D laser rangefinder; LRF rig; autonomous vehicle; collision avoidance; data fusion; extrinsic calibration; mobile robotics; pose finding; sensor measurement; Calibration; Jacobian matrices; Lasers; Optimization; Robot sensing systems; Uncertainty;
  • 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.2015.7139475
  • Filename
    7139475