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Chinese Journal of Lasers, Volume. 52, Issue 1, 0106002(2025)

Train Positioning Using Visible Light Communication with Target Tracking and Particle Filtering

Yanpeng Zhang1,2、*, Meng Wan1,2, Xiaoqi Zhu1,2, Rongrong Zhang1,2, and Bingqing Zhang1,2
Author Affiliations
  • 1School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu , China
  • 2Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, Lanzhou 730070, Gansu , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (17)
    Equations (0)
    References (29)
    Cited By (1)
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    Figures & Tables(17)
    Scenario of train running in tunnel

    Fig. 1. Scenario of train running in tunnel

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    Moving target tracking process based on Camshift algorithm

    Fig. 2. Moving target tracking process based on Camshift algorithm

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    Stripe image after binarisation

    Fig. 3. Stripe image after binarisation

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    Transformation of different coordinate systems of imaging model

    Fig. 4. Transformation of different coordinate systems of imaging model

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    Train positioning model

    Fig. 5. Train positioning model

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    Calculation process of train positioning

    Fig. 6. Calculation process of train positioning

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    Experimental environment

    Fig. 7. Experimental environment

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    Stripe images of LED lamp. (a) Complete stripe image; (b) stripe image with shielding

    Fig. 8. Stripe images of LED lamp. (a) Complete stripe image; (b) stripe image with shielding

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    Static train positioning results. (a) Trajectory of train positioning; (b) distribution of positioning error

    Fig. 9. Static train positioning results. (a) Trajectory of train positioning; (b) distribution of positioning error

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    Dynamic train positioning results at different speeds

    Fig. 10. Dynamic train positioning results at different speeds

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    Distribution of cumulative positioning error

    Fig. 11. Distribution of cumulative positioning error

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    Comparison of train positioning results at 0 km/h

    Fig. 12. Comparison of train positioning results at 0 km/h

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    Comparison of train positioning results at 40 km/h

    Fig. 13. Comparison of train positioning results at 40 km/h

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    Comparison of train positioning results at 60 km/h

    Fig. 14. Comparison of train positioning results at 60 km/h

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    Box-plot of train positioning error

    Fig. 15. Box-plot of train positioning error

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    • Table 1. Experimental parameters

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      Table 1. Experimental parameters

      ParameterValue
      Focal length /mm17.52
      Pixel size /（μm×μm）3.45×3.45
      Camera resolution /（pixel×pixel）4112×2176
      Initial coordinates （x， y， z） /m（1.5， 0， 1.0）
      Size /（m×m×m）20×1.5×1.0
      Coordinates （x， y， z）/m

      LED1（0， 10， 0）

      LED2（0， 20， 0）

      Power of LED lamps /W7
      Interval of LED lamps /m10
      Horizontal field angle of camera /（°）60
      Vertical field angle of camera /（°）35
      Field angle of LED lamp /（°）60

    • Table 2. Positioning time

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      Table 2. Positioning time

      Train speed /（km/h）Maximum time /ms
      4066.72
      6066.91
      8067.33
      10067.64
      12067.94
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    Yanpeng Zhang, Meng Wan, Xiaoqi Zhu, Rongrong Zhang, Bingqing Zhang. Train Positioning Using Visible Light Communication with Target Tracking and Particle Filtering[J]. Chinese Journal of Lasers, 2025, 52(1): 0106002

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    Paper Information

    Category: Fiber optics and optical communication

    Received: May. 30, 2024

    Accepted: Aug. 22, 2024

    Published Online: Jan. 20, 2025

    The Author Email: Yanpeng Zhang (zhangyanpeng@lzjtu.edu.cn)

    DOI:10.3788/CJL240922

    CSTR:32183.14.CJL240922

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology