Journal of Applied Optics, Volume. 44, Issue 1, 145(2023)

Application of PSO-ASVR in quantitative calibration of three-wavelength pavement state sensor

Sen YANG, Yuhui TIAN*, and Houqing ZHANG
Author Affiliations
  • School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
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    Figures & Tables(12)
    Block diagram of AP flow
    Flow chart of PSO-ASVR method
    Block diagram of sensor structure
    Physical picture of sensor and standard samples
    Diagram of calibration data
    Diagram of test data
    Fitting errorδobtained by least square method
    Fitting error δ obtained by partial least square method
    Fitting errorδobtained by PSO-ASVR
    • Table 1. RMSE for different wavelengths

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      Table 1. RMSE for different wavelengths

      波长/nmLSPLSPSO-ASVR
      9400.109 70.199 80.062 4
      1 3101.103 90.178 20.056 3
      1 5500.034 80.083 80.059 3
    • Table 2. RMSE for different pavement states

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      Table 2. RMSE for different pavement states

      路面状态LSPLSPSO-ASVR
      0.658 50.190 70.058 4
      0.890 50.194 20.080 6
      0.072 30.068 10.025 9
    • Table 3. RMSE for different methods

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      Table 3. RMSE for different methods

      方法LSPLSPSO-ASVR
      RMSE0.640 80.162 00.059 4
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    Sen YANG, Yuhui TIAN, Houqing ZHANG. Application of PSO-ASVR in quantitative calibration of three-wavelength pavement state sensor[J]. Journal of Applied Optics, 2023, 44(1): 145

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    Paper Information

    Category: Research Articles

    Received: Mar. 21, 2022

    Accepted: --

    Published Online: Feb. 22, 2023

    The Author Email: Yuhui TIAN (1620673814@qq.com)

    DOI:10.5768/JAO202344.0103005

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