• Laser & Optoelectronics Progress
  • Vol. 61, Issue 8, 0812006 (2024)
Qinghua Gu1、2, Jiawei Li1、2、*, Lu Chen1、2, and Hejie Zhu1、2
Author Affiliations
  • 1School of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi , China
  • 2Xi'an Key Laboratory of Intelligent Industrial Perception Computing and Decision Making, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi , China
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    DOI: 10.3788/LOP230765 Cite this Article Set citation alerts
    Qinghua Gu, Jiawei Li, Lu Chen, Hejie Zhu. Small-Scale Rockfall Detection Method Based on Solid-State Lidar for Unstructured Transportation Roads in Open-Pit Mines[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0812006 Copy Citation Text show less
    Overall flowchart of small obstacle detection method
    Fig. 1. Overall flowchart of small obstacle detection method
    Diagram of double echo technology
    Fig. 2. Diagram of double echo technology
    Ground segmentation. (a) Input point cloud; (b) ground segmentation result
    Fig. 3. Ground segmentation. (a) Input point cloud; (b) ground segmentation result
    Single fan map
    Fig. 4. Single fan map
    Clustering. (a) Two-dimensional grid simulation diagram; (b) two-dimensional quadtree simulation diagram
    Fig. 5. Clustering. (a) Two-dimensional grid simulation diagram; (b) two-dimensional quadtree simulation diagram
    Schematic of lidar scanning
    Fig. 6. Schematic of lidar scanning
    Experimental equipment. (a) Lidar equipment; (b) experimental vehicle
    Fig. 7. Experimental equipment. (a) Lidar equipment; (b) experimental vehicle
    Small obstacle detection experiment on straight road. (a) Scene; (b) k-d tree accelerated DBSCAN;(c) proposed algorithm
    Fig. 8. Small obstacle detection experiment on straight road. (a) Scene; (b) k-d tree accelerated DBSCAN;(c) proposed algorithm
    Small obstacle detection experiment on turning road. (a) Scene; (b) k-d tree accelerated DBSCAN;(c) proposed algorithm
    Fig. 9. Small obstacle detection experiment on turning road. (a) Scene; (b) k-d tree accelerated DBSCAN;(c) proposed algorithm
    Algorithm running time comparison
    Fig. 10. Algorithm running time comparison
    Algorithm

    Positive

    recognition

    Error

    recognition

    Missed

    recognition

    Positive recognition rate /%Error recognition rate /%Cluster average time /ms
    Comparison algorithm41111178.8521.15407.85
    Proposed method466988.4618.0028.08
    Table 1. Calculation results of data indicators
    Qinghua Gu, Jiawei Li, Lu Chen, Hejie Zhu. Small-Scale Rockfall Detection Method Based on Solid-State Lidar for Unstructured Transportation Roads in Open-Pit Mines[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0812006
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