Line-Laser-Based Method for Road Pavement Roughness Detection (Invited)

Table 1. Camera calibration parameters
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Table 1. Camera calibration parameters
Parameter Value
Camera internal parameter $K = [\begin{matrix} 1132.1311 & 0 & 522.4520 \\ 0 & 1131.7881 & 366.7051 \\ 0 & 0 & 1 \end{matrix}]$
Radial distortion coefficient $k_{1} = - 0.0682$ ， $k_{2} = 0.1177$
Reprojection error /pixel 0.0256

Table 2. Realistic two-position attitude for optical plane calibration
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Table 2. Realistic two-position attitude for optical plane calibration
Introduction Position 1 Position 2
Original position
Laser line

Table 3. 10 measurements of standard blocks
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Table 3. 10 measurements of standard blocks
Index 1 2 3 4 5 6 7 8 9 10
Standard block 1 100.581 100.497 100.574 100.510 100.535 100.447 100.483 100.456 100.485 100.523
Standard block 2 35.629 35.717 35.602 35.573 35.673 35.592 35.731 35.719 35.644 35.764

Table 4. Comparison of test results for high speed sections
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Table 4. Comparison of test results for high speed sections
Lane No. The first lane The second lane The third lane
Results of road surface roughness measurement

Table 5. Comparison of cosine similarity of high speed section test results
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Table 5. Comparison of cosine similarity of high speed section test results
Lane No. The first lane The second lane The third lane
Original data 0.879 0.850 0.877
Original data with Wavelet Transform 0.874 0.878 0.856

Table 6. Euclidean distance analysis of measurement outcomes
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Table 6. Euclidean distance analysis of measurement outcomes
Lane No. The first lane The second lane The third lane
Original data 8.69 8.048 7.88
Original data with Wavelet Transform 2.21 2.10 2.98

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Wanyuan Cai, Bin Shen, Zhenyu Li, Te Wen, Wei Tao. Line-Laser-Based Method for Road Pavement Roughness Detection (Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(20): 2011014

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