• Laser & Optoelectronics Progress
  • Vol. 59, Issue 16, 1606001 (2022)
Yanpeng Zhang1、2、*, Dongya Zhu1、2, Junmin Ma3, and Nan Meng1、2
Author Affiliations
  • 1School of Electrical and Automation, Lanzhou Jiaotong University, Lanzhou 730070, Gansu , China
  • 2Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, Lanzhou 730070, Gansu , China
  • 3Chengdu Metro Operation Co., Ltd., Chengdu 610041, Sichuan , China
  • show less
    DOI: 10.3788/LOP202259.1606001 Cite this Article Set citation alerts
    Yanpeng Zhang, Dongya Zhu, Junmin Ma, Nan Meng. Subway Train Positioning Based on Monocular Vision and Optical Camera Communication[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1606001 Copy Citation Text show less
    Subway train positioning system based on OCC
    Fig. 1. Subway train positioning system based on OCC
    Functions of the OCC positioning system
    Fig. 2. Functions of the OCC positioning system
    Principle of generating MA
    Fig. 3. Principle of generating MA
    Subway tunnel scenario with fast train running
    Fig. 4. Subway tunnel scenario with fast train running
    Train positioning in the scenario of arch tunnel
    Fig. 5. Train positioning in the scenario of arch tunnel
    Structure of the sending data frame
    Fig. 6. Structure of the sending data frame
    Forming principle of images with bright and dark stripes. (a) Principle of the progressive exposure of camera line by lin; (b) images with bright and dark stripes
    Fig. 7. Forming principle of images with bright and dark stripes. (a) Principle of the progressive exposure of camera line by lin; (b) images with bright and dark stripes
    Structure of the train positioning system based on OCC
    Fig. 8. Structure of the train positioning system based on OCC
    Principle of the keyhole imaging
    Fig. 9. Principle of the keyhole imaging
    Projection of LED lamps on the imaging plane
    Fig. 10. Projection of LED lamps on the imaging plane
    Projection model of LED lamps under the titled conditions
    Fig. 11. Projection model of LED lamps under the titled conditions
    Solving principle of the subtense AB
    Fig. 12. Solving principle of the subtense AB
    Experimental environment and equipment. (a) Experimental environment; (b) experimental equipment
    Fig. 13. Experimental environment and equipment. (a) Experimental environment; (b) experimental equipment
    Changing principle of the field of view
    Fig. 14. Changing principle of the field of view
    Schematic diagram of the train positioning unit
    Fig. 15. Schematic diagram of the train positioning unit
    Experiment results. (a) Experiment results in the positioning unit; (b) experiment results for different camera positions and postures; (c) experiment results at different heights
    Fig. 16. Experiment results. (a) Experiment results in the positioning unit; (b) experiment results for different camera positions and postures; (c) experiment results at different heights
    Simulation results when the train is running. (a) Simulation results; (b) positioning error
    Fig. 17. Simulation results when the train is running. (a) Simulation results; (b) positioning error
    ParameterValue
    LED rated power /W5
    LED diameter /cm5
    Location unit size(L×W×H)/(m×m×m)10.0×5.0×5.0
    Coordinates of two LED lamps lamps /m(0,-2.5,5),(10,-2.5,5)
    Vertical distance between camera and LED lamps /m1.2
    Focal length /mm17.52
    Image size /(pixel×pixel)4112×2176
    Pixel size /(μm×μm)3.45×3.45
    Horizontal field angle /(°)56.3
    Maximum frame rate of the camera /(frame·s-187.6
    Table 1. Simulation parameters
    Yanpeng Zhang, Dongya Zhu, Junmin Ma, Nan Meng. Subway Train Positioning Based on Monocular Vision and Optical Camera Communication[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1606001
    Download Citation