• DocumentCode
    11536
  • Title

    Calibration of Nonoverlapping In-Vehicle Cameras With Laser Pointers

  • Author

    Wuhe Zou ; Shigang Li

  • Author_Institution
    Grad. Sch. of Eng., Tottori Univ., Tottori, Japan
  • Volume
    16
  • Issue
    3
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    1348
  • Lastpage
    1359
  • Abstract
    This paper introduces a new approach to calibrating inward- and outward-facing in-vehicle cameras using a laser pointer. Since inward cameras, which observe the driver´s behavior, and outward cameras, which observe the driver´s field of view, do not have overlapping views, the conventional calibration methods for stereo cameras cannot be applied directly. A method is presented in which the two cameras can be connected by a laser emitted from a laser pointer. The laser pointer is mounted on a calibration board so that the laser ray´s pose within the calibration board´s coordinate system can be calculated. Two algorithms are presented based on this idea: the coplanar method and the collinear method. We compare the performance of the two proposed algorithms with the conventional mirror-based method through simulations and experiments. Finally, the laser-based collinear method is applied to the calibration of an in-vehicle camera system. In contrast to other methods, the proposed method is simple, practical, and particularly well suited to the calibration of nonoverlapping in-vehicle cameras in a factory or a garage.
  • Keywords
    calibration; cameras; measurement by laser beam; vehicles; calibration board coordinate system; coplanar method; laser pointers; laser-based collinear method; nonoverlapping in-vehicle cameras; Calibration; Cameras; Estimation; Lasers; Mirrors; Robot vision systems; Vehicles; Computer vision; driving assistance; monitoring; nonoverlapping view calibration;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2014.2361666
  • Filename
    6936372