RESEARCH ON WORK UTILIZATION OF POINT CLOUD DATA IN THE CONSTRUCTION FIELD

被引:0
|
作者
Someya S. [1 ]
Shide K. [2 ]
机构
[1] Doctoral Course, Graduate School of Eng., Shibaura Institute of Technology
[2] School of Architecture, Shibaura Institute of Technology
关键词
3D laser scanner; 3D scanning; BIM; Point cloud;
D O I
10.3130/aijt.29.1594
中图分类号
学科分类号
摘要
In this research, the usage of point cloud data in the construction site were investigated, and the necessary software functions for operating point cloud covered. Furthermore, a rational workflow using the DSM method and a method for streamlining and automating software operations were proposed, and our own program was created. Then, the effectiveness of these proposed methods was confirmed by simulated work experiments using practical point cloud data. © 2023 Architectural Institute of Japan. All rights reserved.
引用
收藏
页码:1594 / 1599
页数:5
相关论文
共 50 条
  • [31] The Method of Matching Single Tree Information Extracted by Point Cloud to the Reference Data from Field Work through Bidirectional Selection
    Huo L.
    Zhang X.
    Linye Kexue/Scientia Silvae Sinicae, 2021, 57 (03): : 181 - 188
  • [32] UTILIZATION OF SPATIAL INFORMATION FOR POINT CLOUD SEGMENTATION
    Akman, Oytun
    Bayramoglu, Neslihan
    Alatan, A. Aydin
    Jonker, Pieter
    2010 3DTV-CONFERENCE: THE TRUE VISION - CAPTURE, TRANSMISSION AND DISPLAY OF 3D VIDEO (3DTV-CON 2010), 2010,
  • [33] Research of fast point cloud registration method in construction error analysis of hull blocks
    Wang, Ji
    Huo, Shilin
    Liu, Yujun
    Li, Rui
    Liu, Zhongchi
    INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING, 2020, 12 : 605 - 616
  • [34] Research of fast point cloud registration method in construction error analysis of hull blocks
    Wang, Ji
    Huo, Shilin
    Liu, Yujun
    Li, Rui
    Liu, Zhongchi
    International Journal of Naval Architecture and Ocean Engineering, 2020, 12 : 605 - 616
  • [35] Integrating as-built BIM model from point cloud data in construction projects
    Zeng, Ruochen
    Shi, Jonathan J. S.
    Wang, Chao
    Lu, Tao
    ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2024, 31 (09) : 3557 - 3574
  • [36] Using point cloud data for tree organ classification and real leaf surface construction
    Yun, Ting
    Chen, Bangqian
    Li, Weizheng
    Sun, Yuan
    Xue, Lianfeng
    BULGARIAN CHEMICAL COMMUNICATIONS, 2017, 49 (01): : 288 - 296
  • [37] Jointed rock mass characterization using field and point-cloud data
    Marjanovic, Milos
    Pejic, Marko
    Krusic, Jelka
    Abolmasov, Biljana
    GEOMECHANICS AND GEODYNAMICS OF ROCK MASSES (EUROCK2018), VOLS 1 AND 2, 2018, : 319 - 324
  • [38] Jointed rock mass characterization using field and point-cloud data
    Marjanovic, Milos
    Pejic, Marko
    Krusic, Jelka
    Abolmasov, Biljana
    GEOMECHANICS AND GEODYNAMICS OF ROCK MASSES, 2018, : 231 - 236
  • [39] You Work We Care: Sitting Posture Assessment Based on Point Cloud Data
    Katayama, Hikaru
    Mizomoto, Teruhiro
    Rizk, Hamada
    Yamaguchi, Hirozumi
    2022 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS), 2022,
  • [40] Research on Organizing Massive 3D Laser Point Cloud Data
    Xu, Xudong
    Wang, Lei
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING APPLICATIONS (CSEA 2015), 2015, : 670 - 676