Deep learning-based object detection in augmented reality: A systematic review

Y Ghasemi, H Jeong, SH Choi, KB Park, JY Lee - Computers in Industry, 2022 - Elsevier
Recent advances in augmented reality (AR) and artificial intelligence have caused these
technologies to pioneer innovation and alteration in any field and industry. The fast-paced …

Risk factors and emerging technologies for preventing falls from heights at construction sites

M Khan, C Nnaji, MS Khan, A Ibrahim, D Lee… - Automation in …, 2023 - Elsevier
Falls at construction sites account for approximately 50% of all accidents reported in the US
annually, making them the leading cause of injuries and fatalities. Although there have been …

Tag and IoT based safety hook monitoring for prevention of falls from height

M Khan, R Khalid, S Anjum, N Khan, S Cho… - Automation in …, 2022 - Elsevier
Monitoring the unsafe behavior of construction workers at risky elevations is essential for
eliminating fall from height (FFH) accidents. This study aims to bridge the gap between …

Development of robust detector using the weather deep generative model for outdoor monitoring system

KH **, KS Kang, BK Shin, JH Kwon, SJ Jang… - Expert Systems with …, 2023 - Elsevier
This paper proposes a methodology for building a robust instance segmentation model that
can effectively detect objects on construction sites under various weather conditions. We …

[HTML][HTML] Computer vision and IoT research landscape for health and safety management on construction sites

S Arshad, O Akinade, S Bello, M Bilal - Journal of Building Engineering, 2023 - Elsevier
Aims Perform a systematic review of current literature to evaluate and summarise the health
and safety hazards on construction sites. Methods Science Direct, SCOPUS and web of …

Improved YOLOv3-based bridge surface defect detection by combining High-and low-resolution feature images

S Teng, Z Liu, X Li - Buildings, 2022 - mdpi.com
Automatic bridge surface defect detection is of wide concern; it can save human resources
and improve work efficiency. The object detection algorithm, especially the You Only Look …

Generative planning for construction safety surveillance camera installation in 4D BIM environment

SVT Tran, TL Nguyen, HL Chi, D Lee, C Park - Automation in construction, 2022 - Elsevier
Surveillance cameras have become increasingly significant in the field of construction safety
monitoring. With visual information, these cameras support safety managers to identify the …

Personalized stability monitoring based on body postures of construction workers working at heights

P Duan, YM Goh, J Zhou - Safety science, 2023 - Elsevier
Fall from heights accidents are one of the most frequent causes of death in the construction
industry. Many fall-from-height accidents are related to stability issues and stability is critical …

Construction work-stage-based rule compliance monitoring framework using computer vision (CV) technology

N Khan, SFA Zaidi, J Yang, C Park, D Lee - Buildings, 2023 - mdpi.com
Noncompliance with safety rules is a major cause of unsatisfactory performance in
construction safety worldwide. Although some research efforts have focused on using …

[HTML][HTML] A deep learning fusion approach to retrieve images of People's unsafe behavior from construction sites

W Fang, PED Love, H Luo, S Xu - Developments in the Built Environment, 2022 - Elsevier
Retrieving unsafe behaviours from an existing digital database can provide managers and
the like with the necessary information to put in place strategies to improve safety in …