Intelligent Inspection and Warning Robotic System for Onsite Construction Safety Monitoring Using Computer Vision and Unmanned Ground Vehicle-Reference-Cited by-同舟云学术

Intelligent Inspection and Warning Robotic System for Onsite Construction Safety Monitoring Using Computer Vision and Unmanned Ground Vehicle

Published:2024-03-18 Issue: Volume:83 Page:628-637
ISSN:
Container-title:Construction Research Congress 2024
language:
Short-container-title:

Author:

Hu Xi¹²,Assaad Rayan H.¹²

Affiliation:

1. Ph.D. Candidate, John A. Reif, Jr. Dept. of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ.

2. Assistant Professor of Construction and Civil Infrastructure, Founding Director of the Smart Construction and Intelligent Infrastructure Systems Lab, and John A. Reif, Jr. Dept. of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485293.063

Reference20 articles.

1. Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

2. Akbarzadeh M. Zhu Z. and Hammad A. (2020). “Nested network for detecting PPE on large construction sites based on frame segmentation.” Proc. Creative Construction e-Conference Budapest Hungary 33–38.

3. PPE non-compliance among construction workers: An assessment of contributing factors utilizing fuzzy theory;Al-Bayati A. J.;J. Saf. Res,2023

4. Incorporating Worker Awareness in the Generation of Hazard Proximity Warnings

5. A Vision-Based Approach for Ensuring Proper Use of Personal Protective Equipment (PPE) in Decommissioning of Fukushima Daiichi Nuclear Power Station

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