Individual Component Detection of a Scaffolding Assembly for Vision-Based Safety Check-Reference-Cited by-同舟云学术

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Individual Component Detection of a Scaffolding Assembly for Vision-Based Safety Check

Published:2024-03-18 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2024
language:
Short-container-title:

Author:

Lin Pei-Hsin¹²³⁴,Pal Aritra¹²³⁴,Lin Jacob J.¹²³⁴,Hsieh Shang-Hsien¹²³⁴

Affiliation:

1. Graduate Student, Dept. of Civil Engineering, National Taiwan Univ.

2. Ph.D. Candidate, Dept. of Civil Engineering, National Taiwan Univ.. ORCID: .

3. Assistant Professor, Dept. of Civil Engineering, National Taiwan Univ.

4. Professor, Dept. of Civil Engineering, National Taiwan Univ.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485293.073

Reference9 articles.

1. A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network;Fang W.;Advanced Engineering Informatics,2019

2. Fall Prevention from Scaffolding Using Computer Vision and IoT-Based Monitoring;Khan M.;Journal of Construction Engineering and Management,2022

3. Deep learning-based 3D reconstruction of scaffolds using a robot dog;Kim J.;Automation in Construction,2022

4. Kim J. Kim J. Koo N. and Kim H. (2022b). “Automated Checking of Scaffold Safety Regulations using Multi-Class 3D Segmentation.” Proceedings of the International Symposium on Automation and Robotics in Construction 2022-July(Isarc) pp.115–119. https://doi.org/10.22260/isarc2022/0018.

5. Transfer learning and deep convolutional neural networks for safety guardrail detection in 2D images;Kolar Z.;Automation in Construction,2018

Cited by 1 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. Feature Selection-Based Method for Scaffolding Assembly Quality Inspection Using Point Cloud Data;Buildings;2024-08-15

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