Acta Optica Sinica, Volume. 39, Issue 9, 0928004(2019)

Urban Ground Segmentation Algorithm Based on Ray Slope Threshold

Jiong Li1, Kai Zhao2、*, Rui Bai2, Yuan Zhu2, and Youchun Xu2
Author Affiliations
  • 1 Army Military Transportation University of PLA, Tianjin 300161, China
  • 2 Institute of Military Transportation of PLA, Tianjin 300161, China
  • show less
    Figures & Tables(13)
    Comparison of results before and after linearization. (a) Before linearization; (b) after linearization
    Laser line sequence correspondence table
    Comparison of denoising results. (a) Before denoising; (b) partial horizontal view before denoising; (c) after denoising; (d) partial horizontal view after denoising
    Flow chart of ray slope threshold method
    Different types of points before and after urban point cloud ground segmentation. (a) Current point and previous point are obstacle points; (b) current point is ground point and previous point is obstacle point; (c) current point and previous point are both slope ground points; (d) current point is obstacle point and previous point is ground point
    Experimental platform
    Overall segmentation results of simple and rough pavement. (a) Method in Ref. [5]; (b) method in Ref. [9]; (c) proposed method
    Comparison of partial segmentation effects of simple and rough pavement. (a) Method in Ref. [5] (A box); (b) method in Ref. [9] (A box); (c) proposed method (A box); (d) method in Ref. [5] (B box); (e) method in Ref. [9] (B box); (f) proposed method (B box)
    Overall segmentation results of complex dynamic pavement. (a) Method in Ref. [5]; (b) method in Ref. [9]; (c) proposed method
    Comparison of partial segmentation effects of complex dynamic pavement. (a) Method in Ref. [5] (A box); (b) method in Ref. [9] (A box); (c) proposed method (A box); (d) method in Ref. [5] (side view of A box); (e) method in Ref. [5] (B box); (f) method in Ref. [9] (B box); (g) proposed method (B box); (h) method in Ref. [5] (C box); (i) method in Ref. [9] (C box); (j) proposed method (C box)
    Overall segmentation results of complex slope pavement. (a) Method in Ref. [5]; (b) method in Ref. [9]; (c) proposed method
    Comparison of partial segmentation results of complex slope pavement. (a)Method in Ref. [5] (A box); (b) method in Ref. [9] (A box); (c) proposed method (A box); (d) method in Ref. [5] (B box); (e) method in Ref. [9](B box); (f) proposed method (B box); (g) method in Ref. [5] (C box); (h) method in Ref. [9] (C box); (i) proposed method (C box)
    • Table 1. Comparison of ground segmentation results of three algorithms in different scenarios

      View table

      Table 1. Comparison of ground segmentation results of three algorithms in different scenarios

      SceneAlgorithmRTP /%RFP /%Consuming time /ms
      Simple rough roadRef. [5]95.80.281.2
      Ref. [9]93.10.7220
      Proposed method99.60.070.7
      Complex dynamic roadRef. [5]91.82.681.4
      Ref. [9]85.13.7226
      Proposed method98.91.070.9
      Complex slope roadRef. [5]88.82.281.5
      Ref. [9]78.14.227
      Proposed method98.21.870.8
    Tools

    Get Citation

    Copy Citation Text

    Jiong Li, Kai Zhao, Rui Bai, Yuan Zhu, Youchun Xu. Urban Ground Segmentation Algorithm Based on Ray Slope Threshold[J]. Acta Optica Sinica, 2019, 39(9): 0928004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 4, 2019

    Accepted: May. 27, 2019

    Published Online: Sep. 9, 2019

    The Author Email: Zhao Kai (17694911996@163.com)

    DOI:10.3788/AOS201939.0928004

    Topics