• DocumentCode
    3754589
  • Title

    Study on long-distance obstacle perception of the line structured light sensor

  • Author

    Haiyan Shao;Kejie Li;Zhenhai Zhang

  • Author_Institution
    School of Mechanical Engineering, University of Jinan, Shandong, China
  • fYear
    2015
  • Firstpage
    357
  • Lastpage
    362
  • Abstract
    The detection method of line structured light is applied to perceive obstacles of Unmanned Ground Vehicle (UGV) in this paper. A novel line structured light sensor is proposed for remote obstacle perception. The mathematical model of the line structured light sensor is established to measure obstacles. The formula for calculating the relationship among laser power, environmental factors and detection distance is derived. The method of three-dimensional coordinate of space point in the camera coordinate system is presented. The obstacle recognition principles based on structured lights strip are summarized. An effective method is proposed for line structured light image. Through a lot of experiments, the line structured light sensor proposed in this paper can detect ground obstacles in a hundred meters with the high speed and accuracy.
  • Keywords
    "Cameras","Robot sensing systems","Strips","Filtering algorithms","Optical surface waves","Mathematical model","Laser beams"
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2015.7418793
  • Filename
    7418793