• Chinese Journal of Lasers
  • Vol. 48, Issue 16, 1604001 (2021)
Mengbing Xu1、2, Youmei Han1、*, Liuzhao Wang2, Panke Zhang2, Dongming Liu1, and Jinghua Yang1
Author Affiliations
  • 1School of Ocean Technology and Surveying and Mapping, Jiangsu Ocean University, Lianyungang, Jiangsu 222000, China
  • 2Beijing Geo-Vision Tech. Co., Ltd., Beijing 100070, China
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    DOI: 10.3788/CJL202148.1604001 Cite this Article Set citation alerts
    Mengbing Xu, Youmei Han, Liuzhao Wang, Panke Zhang, Dongming Liu, Jinghua Yang. Research on High-precision Manhole Cover Extraction and Settlement Disease Detection Method Based on Laser Point Cloud[J]. Chinese Journal of Lasers, 2021, 48(16): 1604001 Copy Citation Text show less
    Overall structure of SSW vehicle-borne laser modeling system
    Fig. 1. Overall structure of SSW vehicle-borne laser modeling system
    Common manhole cover disease problems.(a) Manhole cover sinking; (b) manhole cover raised
    Fig. 2. Common manhole cover disease problems.(a) Manhole cover sinking; (b) manhole cover raised
    Flow chart of rapid identification and location of manhole cover and disease detection technology
    Fig. 3. Flow chart of rapid identification and location of manhole cover and disease detection technology
    Schematic diagram of two-point tilt diagram
    Fig. 4. Schematic diagram of two-point tilt diagram
    Principle diagram of CSF algorithm
    Fig. 5. Principle diagram of CSF algorithm
    Image binarization results of global threshold and adaptive threshold. (a) Sample image 1; (b) sample image 2
    Fig. 6. Image binarization results of global threshold and adaptive threshold. (a) Sample image 1; (b) sample image 2
    Frame diagram of precise extraction of manhole cover
    Fig. 7. Frame diagram of precise extraction of manhole cover
    Schematic diagram of edge curvature. (a) Round edge contour of manhole cover; (b) arc differential; (c) curvature
    Fig. 8. Schematic diagram of edge curvature. (a) Round edge contour of manhole cover; (b) arc differential; (c) curvature
    Manhole cover extraction and marking
    Fig. 9. Manhole cover extraction and marking
    Rigel laser scanner
    Fig. 10. Rigel laser scanner
    Experimental point cloud data. (a) Experimental data point cloud roadmap; (b) coloring map of pavement point cloud intensity
    Fig. 11. Experimental point cloud data. (a) Experimental data point cloud roadmap; (b) coloring map of pavement point cloud intensity
    Combined ground filtering. (a) Ground points; (b) non-ground points; (c) combination of ground points and non-ground points
    Fig. 12. Combined ground filtering. (a) Ground points; (b) non-ground points; (c) combination of ground points and non-ground points
    Automatic extraction of urban manhole covers based on vehicle-borne laser point cloud. (a) Original point cloud (real scene rendering); (b) ground points (intensity coloring); (c) intensity feature image; (d) manhole cover extraction result; (e) partial enlarged view
    Fig. 13. Automatic extraction of urban manhole covers based on vehicle-borne laser point cloud. (a) Original point cloud (real scene rendering); (b) ground points (intensity coloring); (c) intensity feature image; (d) manhole cover extraction result; (e) partial enlarged view
    Manhole cover extraction result. (a) Schematic diagram of manhole cover position 1; (b) schematic diagram of manhole cover position 2
    Fig. 14. Manhole cover extraction result. (a) Schematic diagram of manhole cover position 1; (b) schematic diagram of manhole cover position 2
    Laser scanner nameRiegl
    Point frequency /kHz1017
    Line frequency /Hz250
    Distance /m2--200 (reflectivity 80%)
    Infinite echoYes
    Relative measurementaccuracy /cm≤1
    Field of view /(°)360(no blind spots)
    Divergence angle /marc0.3(spot size)
    Table 1. Technical indicators of Riegl laser scanner
    SerialnumberSSWX /mSSWY /mGPS-RTKX /mGPS-RTKY /mResidualΔX /mResidualΔY /m
    016607.93526010.3566607.85326010.2830.0820.073
    027843.53421684.3687843.55821684.317-0.0240.051
    035235.36815097.6485235.46715097.776-0.099-0.128
    043337.80015132.4823337.70715132.5840.093-0.102
    058767.53416897.5348767.56816897.480-0.0340.054
    069583.42613701.2539583.41013701.2120.0160.041
    074547.68614986.5634547.78214986.442-0.0960.121
    087996.32626050.1057996.22326050.0140.1030.091
    096783.34815401.8676783.30815401.8050.0400.062
    103463.86513386.3243463.85813386.2890.0070.035
    112964.75725975.7122964.78025975.746-0.023-0.034
    126877.86515386.5466877.83415386.5930.031-0.047
    133524.69814688.1383524.65114688.0930.0470.045
    145675.86114865.2395675.77214865.3620.089-0.123
    156764.16525463.8436764.13925463.8390.0260.004
    162688.53514334.8292688.54714334.802-0.0120.027
    173354.87915589.5473354.78715589.6540.092-0.107
    185767.23423371.9765767.21023371.9340.0240.042
    198416.58713692.5728416.72413692.455-0.1370.117
    204740.10813354.7824740.07713354.7680.0310.014
    Table 2. Accuracy verification of manhole cover center
    Serial numberSSW /mmDS3 /mmResidual /mm
    011627-11
    0221156
    03930-21
    041275
    053443-9
    061129-18
    071826-8
    082338-15
    09-10-2616
    1028199
    111899
    121317-4
    132833-5
    14-7-1912
    1517413
    1622139
    171325-12
    18915-6
    191123-12
    20521-16
    2122193
    22352213
    23817-9
    2443385
    25-38-27-11
    2631238
    27-46-27-19
    281016-6
    2920137
    30718-11
    31-30-17-13
    321596
    33315-12
    341789
    35913-4
    Table 3. Comparison of manhole cover settlement values between SSW vehicle-borne system and DS3 level
    Mengbing Xu, Youmei Han, Liuzhao Wang, Panke Zhang, Dongming Liu, Jinghua Yang. Research on High-precision Manhole Cover Extraction and Settlement Disease Detection Method Based on Laser Point Cloud[J]. Chinese Journal of Lasers, 2021, 48(16): 1604001
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