• Laser & Optoelectronics Progress
  • Vol. 59, Issue 10, 1001002 (2022)
Xiaoyu Liu1, Juqing Zhang1、*, Nian Liu2, Yuhao Che2, and Chuanshuai Zhang2
Author Affiliations
  • 1College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, Shaanxi , China
  • 2The First Topographic Surveying Brigade, Ministry of Natural Resources, Xi’an 710054, Shaanxi , China
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    DOI: 10.3788/LOP202259.1001002 Cite this Article Set citation alerts
    Xiaoyu Liu, Juqing Zhang, Nian Liu, Yuhao Che, Chuanshuai Zhang. Urban Road Extraction Based on Morphological Filtering and Trajectory Detection[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1001002 Copy Citation Text show less
    Technical route
    Fig. 1. Technical route
    Schematic diagram of point cloud normal vector clustering
    Fig. 2. Schematic diagram of point cloud normal vector clustering
    Schematic diagram of scanning detection
    Fig. 3. Schematic diagram of scanning detection
    Schematic diagram of continuous distribution type
    Fig. 4. Schematic diagram of continuous distribution type
    Original point cloud data. (a) Experimental area 1; (b) experimental area 2
    Fig. 5. Original point cloud data. (a) Experimental area 1; (b) experimental area 2
    Ground filtering results. (a) Original algorithm results (experimental area 1); (b) results of proposed algorithm (experimental area 1); (c) original algorithm results (experimental area 2); (d) results of proposed algorithm (experimental area 2)
    Fig. 6. Ground filtering results. (a) Original algorithm results (experimental area 1); (b) results of proposed algorithm (experimental area 1); (c) original algorithm results (experimental area 2); (d) results of proposed algorithm (experimental area 2)
    Road boundary extraction results. (a) Fine extraction of boundary points; (b) road boundary after fitting
    Fig. 7. Road boundary extraction results. (a) Fine extraction of boundary points; (b) road boundary after fitting
    Road extraction results. (a) Road point cloud; (b) road point cloud in raw data
    Fig. 8. Road extraction results. (a) Road point cloud; (b) road point cloud in raw data
    Experimental areaAlgorithm typeCell_size /mMax_window /mInitial_threshold /mTime /msResult points
    1Original0.5490.0565040401885882
    Improved0.5490.059871849348
    2Original0.5490.05164035142467936
    Improved0.5490.0527722377068
    Table 1. Comparison of ground filtering algorithms
    Experimental AreaRegion typepwq
    1Cross section98.3291.4490.04
    Whole region98.9395.5994.67
    2Turning section97.7592.6890.76
    Whole region98.1296.1794.43
    Table 2. Accuracy of road boundary extraction
    Experimental AreaMaximum distanceMean distance
    10.0260.023
    20.0240.021
    Table 3. Detection accuracy of road boundary line
    Xiaoyu Liu, Juqing Zhang, Nian Liu, Yuhao Che, Chuanshuai Zhang. Urban Road Extraction Based on Morphological Filtering and Trajectory Detection[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1001002
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