Laser & Optoelectronics Progress, Volume. 60, Issue 22, 2212003(2023)

Realization of Subway Speed Measurement Technology Based on Computer Vision

Chao Chen1, Ningning Li2、*, Yiguang He2, Zekun Liu3, Shishuang Li3, Zhan Zhao3, and Ming Zhao4
Author Affiliations
  • 1Shanghai Metro Maintenance and Guarantee Co., Ltd. Vehicle Branch, Shanghai 200000, China
  • 2Liaoning Dinghan Qihui Electronic System Engineering Co., Ltd., Shenyang 110000, Liaoning, China
  • 3CRRC Qingdao Sifang Institute Vehicle Research Institute Co., Ltd., Qingdao 266000, Shandong, China
  • 4CRRC Changchun Railway Vehicle Co., Ltd., Changchun 130000, Jilin, China
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    Figures & Tables(12)
    Flow chart of speed measurement algorithm
    Schematic diagram of speed measurement image acquisition at Zhujiajiao Station
    Perspective transformation
    Perspective transformation original image
    Perspective transform result image
    Conventional feature point matching algorithm matching results
    Matching results of proposed feature point matching algorithm
    Video playback speed test effect
    Interval speed curve passing through the speed detection point
    The image effect of the line scan camera when the speed measurement system is not used
    The effect of line scan camera when using the speed measurement system
    • Table 1. Comparison of velocity measurement results

      View table

      Table 1. Comparison of velocity measurement results

      TimeReal passing speedManual velocity measurementProposed algorithm
      20200308T0936302118.820.3
      20200308T1042512219.322.5
      20200315T0954231917.520.2
      20200315T1021371816.917.3
      20200315T1036152119.720.1
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    Chao Chen, Ningning Li, Yiguang He, Zekun Liu, Shishuang Li, Zhan Zhao, Ming Zhao. Realization of Subway Speed Measurement Technology Based on Computer Vision[J]. Laser & Optoelectronics Progress, 2023, 60(22): 2212003

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Dec. 2, 2022

    Accepted: Mar. 15, 2023

    Published Online: Nov. 16, 2023

    The Author Email: Ningning Li (1224271642@qq.com)

    DOI:10.3788/LOP223229

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