• Laser & Optoelectronics Progress
  • Vol. 60, Issue 12, 1228008 (2023)
Chang Liu, Ming Ling*, Xing Wang, Shulong Zhai, and Qipeng Rao
Author Affiliations
  • School of Electronics and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
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    DOI: 10.3788/LOP221510 Cite this Article Set citation alerts
    Chang Liu, Ming Ling, Xing Wang, Shulong Zhai, Qipeng Rao. Improved Angle Constraint Lidar Obstacle Detection Method[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1228008 Copy Citation Text show less
    References

    [1] Tahereh S, Gholamreza A. LIDAR image segmentation using hierarchical clustering[J]. American Journal of Computing Research Repository, 4, 21-29(2016).

    [2] Xia X Z, Zhu S X, Zhou Y Y et al. LiDAR K-means clustering algorithm based on threshold[J]. Journal of Beijing University of Aeronautics and Astronautics, 46, 115-121(2020).

    [3] Wang X Z, Li J, Li H J et al. Obstacle detection based on 3D laser scanner and range image for intelligent vehicle[J]. Journal of Jilin University (Engineering and Technology Edition), 46, 360-365(2016).

    [4] Fan X H, Xu G L, Li W L et al. Target segmentation method for three-dimensional LiDAR point cloud based on depth image[J]. Chinese Journal of Lasers, 46, 0710002(2019).

    [5] Wang F F, Wu Y F, Kong M. Region segmentation of gravity anomaly based on agglomerative clustering algorithm[J]. Hydrographic Surveying and Charting, 41, 18-22(2021).

    [6] Zong C F, Wen L, He L. Object detection based on Euclidean clustering algorithm with 3D laser scanner[J]. Journal of Jilin University (Engineering and Technology Edition), 50, 107-113(2020).

    [7] Bogoslavskyi I, Stachniss C. Fast range image-based segmentation of sparse 3D laser scans for online operation[C], 163-169(2016).

    [8] Zhou B, Huang R. Segmentation algorithm for 3D LiDAR point cloud based on region clustering[C], 52-57(2020).

    [9] Moosmann F, Pink O, Stiller C. Segmentation of 3D lidar data in non-flat urban environments using a local convexity criterion[C], 215-220(2009).

    [10] Kim H K, Yoo K Y, Jung H Y. Color image generation from range and reflection data of LiDAR[J]. Sensors, 20, 5414(2020).

    [11] Li J J, Li Y Q, Yang Y L. Ground point cloud extraction of vehicle-borne LiDAR based on improved RANSAC algorithm[J]. Journal of Henan University of Engineering (Natural Science Edition), 34, 49-54(2022).

    [12] Chen T T, Dai B, Liu D X et al. LIDAR-based long range road intersection detection[C], 754-759(2011).

    [13] Li J, Zhao K, Bai R et al. Urban ground segmentation algorithm based on ray slope threshold[J]. Acta Optica Sinica, 39, 0928004(2019).

    [14] Borges G A, Aldon M J. Line extraction in 2D range images for mobile robotics[J]. Journal of Intelligent and Robotic Systems, 40, 267-297(2004).

    [15] Yang H Z, Wang Z L, Lin L L et al. Two-layer-graph clustering for real-time 3D LiDAR point cloud segmentation[J]. Applied Sciences, 10, 8534(2020).

    Chang Liu, Ming Ling, Xing Wang, Shulong Zhai, Qipeng Rao. Improved Angle Constraint Lidar Obstacle Detection Method[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1228008
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