Computer vision technologies for safety science and management in construction: A critical review and future research directions

BHW Guo, Y Zou, Y Fang, YM Goh, PXW Zou - Safety science, 2021 - Elsevier
Recent years have seen growing interests in developing and applying computer vision
technologies to solve safety problems in the construction industry. Despite the technological …

A critical review of vision-based occupational health and safety monitoring of construction site workers

M Zhang, R Shi, Z Yang - Safety science, 2020 - Elsevier
Globally, the occupational health and safety (OHS) of construction workers has long been a
serious concern. To address this issue, there is an urgent need for an efficient means to …

Vision-based method for tracking workers by integrating deep learning instance segmentation in off-site construction

B Xiao, H Xiao, J Wang, Y Chen - Automation in Construction, 2022 - Elsevier
Vision-based tracking of construction workers is the fundamental step for many automated
applications in off-site construction. This research proposes a vision-based method for …

[HTML][HTML] Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification

JCP Cheng, PKY Wong, H Luo, M Wang… - Automation in …, 2022 - Elsevier
Construction sites are highly hazardous due to the dynamic interaction between workers
and moving equipment, with high fatality rates caused by collision and falling from height …

Vision-based method integrating deep learning detection for tracking multiple construction machines

B Xiao, SC Kang - Journal of Computing in Civil Engineering, 2021 - ascelibrary.org
Tracking construction machines in videos is a fundamental step in the automated
surveillance of construction productivity, safety, and project progress. However, existing …

Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry

CJ Liang, TH Le, Y Ham, BRK Mantha… - Automation in …, 2024 - Elsevier
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

Vision-based excavator pose estimation using synthetically generated datasets with domain randomization

A Assadzadeh, M Arashpour, I Brilakis, T Ngo… - Automation in …, 2022 - Elsevier
The ability to monitor and track the interactions between construction equipment and
workers can lead to creating a safer and more productive work environment. Most recent …

Vision-based construction worker activity analysis informed by body posture

D Roberts, W Torres Calderon, S Tang… - Journal of Computing …, 2020 - ascelibrary.org
Activity analysis of construction resources is generally performed by manually observing
construction operations either in person or through recorded videos. It is thus prone to …

Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning

M Wang, SS Kumar, JCP Cheng - Automation in Construction, 2021 - Elsevier
Computer vision techniques are widely studied for automating the interpretation of sewer
pipe inspection videos, yet previous studies mainly focus on defect detection and …

Tracking multiple construction workers through deep learning and the gradient based method with re-matching based on multi-object tracking accuracy

O Angah, AY Chen - Automation in Construction, 2020 - Elsevier
Multiple construction worker tracking is an active research area critical to the planning of the
job site. Challenges in multiple construction worker tracking include miss detection and …