Laser Technology, Volume. 46, Issue 5, 624(2022)

Detection of road roughness and drivable area based on LiDAR

YAN Deli1,2、*, GAO Shang1,2, LI Shaohua2, and HUO Meng3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(20)

    [1] [1] KUMAR P, ANGELATS E. An automated road roughness detection from mobile laser scanning date[J]. Remote Sensing and Spatial Information Sciences, 2017, 42(1): 91-96.

    [2] [2] BALARINI J P, NESMACHNOW S. A C++ implementation of Otsu’s image segmentation method[J]. Image Processing on Line, 2016, 6(10): 155-164.

    [3] [3] KUMAR P, MCELHINNEY C P, LEWIS P, et al. Automated road markings extraction from mobile laser scanning data[J]. International Journal of Applied Earth Observation and Geoinformation, 2014, 32(1): 125-137.

    [4] [4] MICHEL A, KAPIT J, WITINSKI M F, et al. Open-path spectroscopic methane detection using a broadband monolithic distributed feedback-quantum cascade laser array[J]. Applied Optics, 2017, 56(11): 23-29.

    [5] [5] ZHU J K, LI L J, LIN X Zh. Research on the measurement field planning of LiDAR measurement system[J].Laser Technology, 2021, 45(1): 99-104(in Chinese).

    [6] [6] WU J J, CHEN L, LI L, et al. Research on power line extraction and reconstruction in airborne LiDAR point cloud[J]. Laser Technology,2019,43(4): 64-69(in Chinese).

    [7] [7] YANG B Sh, LIU Y, DONG Zh, et al. 3D local feature BKD to extract road information from mobile laser scanning point clouds[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 130(8): 329-343.

    [8] [8] YAN L, LIU H, TAN J X, et al. Scan line based road marking extraction from mobile LiDAR point clouds[J]. Sensors, 2016, 16(6): 6-21.

    [9] [9] MA L F, LI Y, LI J H, et al. Capsule-based networks for road marking extraction and classification from mobile LiDAR point clouds[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(4): 1981-1995.

    [10] [10] GUAN H Y, YAN W Q, YU Y T, et al. Robust traffic-sign detection and classification using mobile LiDAR data with digital images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(5): 1715-1724.

    [11] [11] GARGOUM S, EL-BASYOUNY K, SABBAGH J, et al. Automated highway sign extraction using LiDAR data [J]. Transportation Research Record, 2017, 2643(1): 1-8.

    [12] [12] HU Z Zh, LIU J H, H G, et al. Indoor robot localization based on wifi, LiDAR and map [J].Journal of Electronics and Information Technology, 2021,43(8): 2308-2316(in Chinese).

    [13] [13] MA L F, LI Y, LI J H, et al. Generation of horizontally curved driving lines in HD maps using mobile laser scanning point clouds[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(5): 1572-1586.

    [14] [14] LANDRIEU L, SIMONOVSKY M.Large-scale point cloud semantic segmentation with superpoint graphs[C]//2018 IEEE/CVF Confe-rence on Computer Vision and Pattern Recognition (CVPR). New York, USA: CVPR, 2018: 4558-4567.

    [15] [15] YAN Sh, ZHANG M J, FAN Y Ch, et al. Research progress of 3D reconstruction technology for large-scale outdoor image[J]. Chinese Journal of Image and Graphics, 2021, 26(6): 1429-1449.

    [16] [16] MA Y, ZHENG Y B, CHENG J Ch, et al. Real-time visualization method for estimating 3D highway sight distance using LiDAR data[J]. Journal of Transportation Engineering, 2019, A145(4): 1-14.

    [17] [17] YU L L, YU H Y, HE Z X, et al. Point cloud scene segmentation based on dual attention mechanism and multi-scale features[J].Laser & Optoelectronics Progress, 2021, 58(24): 2428007(in Chin-ese).

    [18] [18] YU Z L, HU Y J. Initial road extraction from airborne LiDAR point cloud[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2401003 (in Chinese).

    [19] [19] XIE B, ZHAO Y N, GAO L, et al. Small target semantic s egmen-tation enhancement method based on LiDAR point cloud [J]. Laser Journal,2020,41(4): 18-23(in Chinese).

    [20] [20] HU Q Y, YANG B, XIE L H, et al. RandLA-net: Efficient semantic segmentation of large-scale point clouds[C]//2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). New York, USA: CVPR, 2020: 11108-11117.

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    YAN Deli, GAO Shang, LI Shaohua, HUO Meng. Detection of road roughness and drivable area based on LiDAR[J]. Laser Technology, 2022, 46(5): 624

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    Paper Information

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    Received: Aug. 18, 2021

    Accepted: --

    Published Online: Oct. 14, 2022

    The Author Email: YAN Deli (yandl@stdu.edu.cn)

    DOI:10.7510/jgjs.issn.1001-3806.2022.05.007

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