Rapid coal loading quality detection method based on lidar point cloud

被引：0
|
作者：
Zhang, Junsheng [1 ,2 ,3 ]
Wang, Honglei [1 ,2 ,3 ]
Zhu, Xishuo [1 ,2 ,3 ]
Li, Jiacheng [1 ,2 ,3 ]
Liu, Xiaoming [1 ,2 ]
机构：
[1] Intelligent Mine Research Institute, CCTEG Chinese Institute of Coal Science, Beijing,100013, China
[2] Beijing Technology Research Branch, CCTEG Tiandi Science & Technology Co., Ltd., Beijing,100013, China
[3] State Key Laboratory of Intelligent Coal Mining and Strata Control, Beijing,100013, China
来源：
Meitan Kexue Jishu/Coal Science and Technology (Peking) | 2024年 / 52卷 / 10期
关键词：
Clustering degree of connected domain - Clusterings - Connected domains - Lidar scanning - Load detection - Loading quality - Partial load - Partial load detection - Point cloud stitching - Point-clouds;
D O I：
10.12438/cst.2023-1552
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：198 / 206
相关论文
共 50 条
  • [31] Machine learning algorithm based airborne LiDAR point cloud classification method
    Zhang, Yanwen
    Wang, Xiaosong
    Fu, Yuwen
    Wang, Miao
    Liu, Haoguang
    Wang, Zhoujie
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ALGORITHMS, SOFTWARE ENGINEERING, AND NETWORK SECURITY, ASENS 2024, 2024, : 301 - 305
  • [32] LiDAR Point Cloud Registration based on Improved ICP Method and SIFT Feature
    Zheng, Zhongyang
    Li, Yan
    Jun, Wang
    PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATCS AND COMPUTING (IEEE PIC), 2015, : 588 - 592
  • [33] A Novel Score-Based LiDAR Point Cloud Degradation Analysis Method
    Shahbeigi, Sepeedeh
    Robinson, Jonathan
    Donzella, Valentina
    IEEE ACCESS, 2024, 12 : 22671 - 22686
  • [34] Lidar Ground Segmentation Method Based on Point Cloud Cluster Combination Feature
    Shao Jingtao
    Du Chongqing
    Zou Bin
    LASER & OPTOELECTRONICS PROGRESS, 2021, 58 (04)
  • [35] Airborne LiDAR point cloud strip adjustment method
    Wang, Liying
    Song, Weidong
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2012, 37 (07): : 814 - 817
  • [36] Method for extracting texture features of LiDAR point cloud
    Zhou W.
    Peng R.
    Dong J.
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2019, 41 (02): : 124 - 131
  • [37] Noise Point Detection From Airborne LiDAR Point Cloud Based on Spatial Hierarchical Directional Relationship
    Lin, Yunhao
    Wang, Yanjun
    Wang, Shuhan
    Li, Shaochun
    Wang, Mengjie
    Cai, Hengfan
    Teng, Fei
    IEEE ACCESS, 2022, 10 : 82076 - 82091
  • [38] A Quality Metric for 3D LiDAR Point Cloud based on Vision Tasks
    Zhao, Heng
    Yang, Qi
    Zhu, Wenjie
    Xu, Yiling
    2020 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB), 2020,
  • [39] A tree detection method based on trunk point cloud section in dense plantation forest using drone LiDAR data
    Zhang, Yupan
    Tan, Yiliu
    Onda, Yuichi
    Hashimoto, Asahi
    Gomi, Takashi
    Chiu, Chenwei
    Inokoshi, Shodai
    FOREST ECOSYSTEMS, 2023, 10
  • [40] RANSAC-BASED SEGMENTATION FOR BUILDING ROOF FACE DETECTION IN LiDAR POINT CLOUD
    Dal Poz, Aluir Porfirio
    Yano, Michelle Sayuri
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 1276 - 1279
12345