• Laser & Optoelectronics Progress
  • Vol. 56, Issue 24, 242801 (2019)
Jianfei Jiang1、2, Qizhong Li1、2, Miaohua Huang1、2、*, and Jie Gong1、2
Author Affiliations
  • 1Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, Hubei 430070, China
  • 2School of Automotive Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
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    DOI: 10.3788/LOP56.242801 Cite this Article Set citation alerts
    Jianfei Jiang, Qizhong Li, Miaohua Huang, Jie Gong. Real-Time Detection of Obstacles and Passable Areas Based on Three-Dimensional Lidar[J]. Laser & Optoelectronics Progress, 2019, 56(24): 242801 Copy Citation Text show less
    Three-dimensional coordinate system of lidar
    Fig. 1. Three-dimensional coordinate system of lidar
    Through-pass filter results for point clouds. (a) Original point cloud; (b) through-pass filtered point cloud
    Fig. 2. Through-pass filter results for point clouds. (a) Original point cloud; (b) through-pass filtered point cloud
    Statistical filtering result of point clouds
    Fig. 3. Statistical filtering result of point clouds
    Comparison of segmentation effects of ground and non-ground point clouds. (a) Ground separation algorithm based on morphological filter; (b) ground slope separation algorithm
    Fig. 4. Comparison of segmentation effects of ground and non-ground point clouds. (a) Ground separation algorithm based on morphological filter; (b) ground slope separation algorithm
    Obstacle detection comparison chart. (a) Euclidean clustering algorithm for obstacle detection; (b) improved Euclidean clustering algorithm for obstacle detection
    Fig. 5. Obstacle detection comparison chart. (a) Euclidean clustering algorithm for obstacle detection; (b) improved Euclidean clustering algorithm for obstacle detection
    Diagram of laser beam distance. (a) Side view of laser beam distance; (b) top view of laser beam distance
    Fig. 6. Diagram of laser beam distance. (a) Side view of laser beam distance; (b) top view of laser beam distance
    Detection results of passable areas. (a) Ground point cloud in Fig. 3; (b) detection of ground point passable area
    Fig. 7. Detection results of passable areas. (a) Ground point cloud in Fig. 3; (b) detection of ground point passable area
    Combined detection results
    Fig. 8. Combined detection results
    Experimental platform. (a) Front view; (b) side view
    Fig. 9. Experimental platform. (a) Front view; (b) side view
    Detection results of uphill road condition. (a) Uphill scene; (b) lidar original point cloud; (c) detection result of non-ground obstacle; (d) detection result of ground passable area; (e) combined detection results (1: car, 2: person, cuboid frame: single obstacle)
    Fig. 10. Detection results of uphill road condition. (a) Uphill scene; (b) lidar original point cloud; (c) detection result of non-ground obstacle; (d) detection result of ground passable area; (e) combined detection results (1: car, 2: person, cuboid frame: single obstacle)
    Detection results of downhill road condition. (a) Downhill scene; (b) lidar original point cloud; (c) detection result of non-ground obstacle; (d) detection result of ground passable area; (e) combined detection result (1: car, 2,3: person, cuboid frame: single obstacle)
    Fig. 11. Detection results of downhill road condition. (a) Downhill scene; (b) lidar original point cloud; (c) detection result of non-ground obstacle; (d) detection result of ground passable area; (e) combined detection result (1: car, 2,3: person, cuboid frame: single obstacle)
    Detection time-consuming of the proposed algorithm
    Fig. 12. Detection time-consuming of the proposed algorithm
    ParameterValue
    Measurement range /m0-100
    Range accuracy /cm3
    Vertical field of view /(°)-15.0-15.0
    Vertical angular resolution /(°)2.0
    Horizontal field of view /(°)360
    Horizontal angular resolution /(°)0.2
    Rotation rate /Hz10
    Laser wavelength /nm903
    Table 1. Basic parameters of Velodyne VLP-16 lidar
    Laser No.Vertical angle /(°)Le /mΔSe /m
    G1-158.0240.028
    G2-139.3130.033
    G3-1111.0610.038
    G4-913.5750.047
    G5-717.5100.061
    Table 2. Distance corresponding to each laser beam
    Experimental road conditionAverage accuracy
    Euclidean clustering algorithms+adjacent point cloud spacing algorithmsImproved Euclidean clustering algorithms+adjacent point cloud spacing algorithms
    Flat road condition89.5794.76
    Uphill road condition87.6393.72
    Downhill road condition88.2693.91
    Table 3. Average accuracy of algorithm for different road conditions%
    Jianfei Jiang, Qizhong Li, Miaohua Huang, Jie Gong. Real-Time Detection of Obstacles and Passable Areas Based on Three-Dimensional Lidar[J]. Laser & Optoelectronics Progress, 2019, 56(24): 242801
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