3D reconstruction of large-scale scaffolds with synthetic data generation and an upsampling adversarial network-Reference-Cited by-同舟云学术

3D reconstruction of large-scale scaffolds with synthetic data generation and an upsampling adversarial network

Published:2023-12 Issue: Volume:156 Page:105108
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Kim Juhyeon,Kim Jeehoon,Kim Yohan,Kim Hyoungkwan

Funder

Korea Agency for Infrastructure Technology Advancement

Ministry of Land, Infrastructure and Transport

Korea Ministry of Science and ICT

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference67 articles.

1. Ministry of Employment and Labor, Intensive management of 12 risk factors at construction sites. https://www.moel.go.kr/news/enews/report/enewsView.do?news_seq=13524 (2022) (Accessed: March 03, 2023).

2. Construction workers’ group norms and personal standards regarding safety behavior: social identity theory perspective;Choi;J. Manag. Eng.,2017

3. Scaffold research—a review;Beale;J. Constr. Steel Res.,2014

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning applications for point clouds in the construction industry;Automation in Construction;2024-12

2. Automated BIM-to-scan point cloud semantic segmentation using a domain adaptation network with hybrid attention and whitening (DawNet);Automation in Construction;2024-08

3. Automatic monitoring the risk coupling of foundation pits: integrated point cloud, computer vision and Bayesian networks approach;Engineering, Construction and Architectural Management;2024-07-31

4. Point cloud registration considering safety nets during scaffold installation using sensor fusion and deep learning;Automation in Construction;2024-03