Chapter
Jan 25, 2024

Sensor Fusion-Based Point Cloud Registration Considering Safety Net during Scaffold Installation

Publication: Computing in Civil Engineering 2023

ABSTRACT

In order to prevent scaffolding accidents at construction sites, field managers have manually inspected safety regulations. A 3D reconstruction technology enables effective safety management through the automatic monitoring of scaffolds. However, it is difficult to obtain meaningful data for scaffold monitoring in the actual installation process because a safety net is installed. To address this issue, we propose a sensor fusion-based point cloud registration method considering the installation of safety nets for scaffold 3D reconstruction. The method consists of three steps: (1) camera and mobile LiDAR calibration, (2) identification of scaffold installation phases with deep learning-based 2D detection, and (3) registration of point cloud data without safety nets. The proposed method has demonstrated the potential to generate registered point clouds without safety nets for scaffold 3D reconstruction.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Cho, C., Kim, K., Park, J., and Cho, Y. K. (2018). “Data-driven monitoring system for preventing the collapse of scaffolding structures.” Journal of construction engineering and management, 144(8), 04018077.
Kim, J., Chung, D., Kim, Y., and Kim, H. (2022). “Deep learning-based 3D reconstruction of scaffolds using a robot dog.” Automation in Construction, 134, 104092.
KOSHA (Korea Occupational Safety and Health Agency). Industrial Accident Analysis for 2022. On-line: https://www.moel.go.kr/news/enews/report/enewsView.do?news_seq=14546, Accessed: 29/01/2023.
Luo, R., Zhou, Z., Chu, X., Ma, W., and Meng, J. (2022). “3D deformation monitoring method for temporary structures based on multi-thread LiDAR point cloud.” Measurement, 200, 111545.
Wang, F., and Song, G. (2020). “Looseness detection in cup-lock scaffolds using percussion-based method.” Automation in Construction, 118, 103266.
Wang, Q. (2019). “Automatic checks from 3D point cloud data for safety regulation compliance for scaffold work platforms.” Automation in Construction, 104, 38–51.
Xu, Y., Tuttas, S., Hoegner, L., and Stilla, U. (2018). “Reconstruction of scaffolds from a photogrammetric point cloud of construction sites using a novel 3D local feature descriptor.” Automation in Construction, 85, 76–95.
YOLOv5. On-line: https://github.com/ultralytics/yolov5, Accessed: 30/01/2023.
Zhang, Z. (2000). “A flexible new technique for camera calibration.” IEEE Transactions on pattern analysis and machine intelligence, 22(11), 1330–1334.

Information & Authors

Information

Published In

Go to Computing in Civil Engineering 2023
Computing in Civil Engineering 2023
Pages: 265 - 272

History

Published online: Jan 25, 2024

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Juhyeon Kim [email protected]
1Graduate Research Assistant, School of Civil and Environmental Engineering, Yonsei Univ., Seoul, Republic of Korea. Email: [email protected]
Jeehoon Kim [email protected]
2Graduate Research Assistant, School of Civil and Environmental Engineering, Yonsei Univ., Seoul, Republic of Korea. Email: [email protected]
Sunwoong Paik [email protected]
3Graduate Research Assistant, School of Civil and Environmental Engineering, Yonsei Univ., Seoul, Republic of Korea. Email: [email protected]
Hyoungkwan Kim, Ph.D. [email protected]
4Professor, School of Civil and Environmental Engineering, Yonsei Univ., Seoul, Republic of Korea. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$198.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$198.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share