[HTML][HTML] Revolutionizing construction and demolition waste sorting: Insights from artificial intelligence and robotic applications

S Dodampegama, L Hou, E Asadi, G Zhang… - Resources …, 2024‏ - Elsevier
The growing environmental concerns have emerged the necessity of sustainable waste
management of construction and demolition (C&D) wastes. This review explores the …

AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications

ABK Rabbi, I Jeelani - Automation in Construction, 2024‏ - Elsevier
High occupational injury and fatality rate in the construction industry is a serious global
concern. Recognizing AI as a solution to enhance safety performance, this study reviews …

[HTML][HTML] Generative adversarial networks in construction applications

P Chai, L Hou, G Zhang, Q Tushar, Y Zou - Automation in construction, 2024‏ - Elsevier
Abstract Generative Adversarial Networks (GANs) have emerged as a powerful tool rapidly
advancing the state-of-the-art in numerous domains. This paper conducts a comprehensive …

[HTML][HTML] Augmented reality, deep learning and vision-language query system for construction worker safety

H Chen, L Hou, S Wu, G Zhang, Y Zou, S Moon… - Automation in …, 2024‏ - Elsevier
Low situational awareness contributes to safety incidents in construction. Existing Deep
Learning (DL)-based applications lack the capability to provide context-specific and …

Cognitive ergonomics-based Augmented Reality application for construction performance

S Wu, L Hou, H Chen, GK Zhang, Y Zou… - Automation in …, 2023‏ - Elsevier
There is a growing interest in exploring the use of wearable Augmented Reality (AR)
devices to improve the task performance of construction workers. However, user interaction …

A review of digital twin applications in civil and infrastructure emergency management

R Cheng, L Hou, S Xu - Buildings, 2023‏ - mdpi.com
Natural disasters can cause severe damages to civil infrastructure and lead to extensive
economic losses and casualties. To improve the emergency response capability of civil …

[HTML][HTML] Using eye-tracking to measure worker situation awareness in augmented reality

S Wu, H Chen, L Hou, GK Zhang, CQ Li - Automation in Construction, 2024‏ - Elsevier
Augmented Reality (AR) technology has emerged as a promising tool for enhancing safety
in the construction industry by improving the Situation Awareness (SA) of onsite workers …

Application of deep learning for automatic identification of hazardous materials and urban safety supervision

T Yan, J Wu, M Kumar, Y Zhou - Journal of Organizational and End …, 2024‏ - igi-global.com
The rapid process of urbanization and industrial development has raised significant
concerns regarding the presence and management of hazardous substances. However …

Few-shot object detection and attribute recognition from construction site images for improved field compliance

X Wang, N El-Gohary - Automation in Construction, 2024‏ - Elsevier
Computer vision techniques can be used to detect site objects for identifying
noncompliances that could lead to safety incidents. However, existing methods are limited in …

Deep learning-based object detection for dynamic construction site management

J Xu, W Pan - Automation in Construction, 2024‏ - Elsevier
Deep learning-based object detection (DLOD) methods are crucial in assisting dynamic
construction site management (DCSM) but have not been systematically studied. This paper …