Real-time locating systems applications in construction

H Li, G Chan, JKW Wong, M Skitmore - Automation in Construction, 2016 - Elsevier
Real-time locating systems (RTLSs) are considered an effective way to identify and track the
location of an object in both indoor and outdoor environments. Various RTLSs have been …

A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network

W Fang, B Zhong, N Zhao, PE Love, H Luo… - Advanced Engineering …, 2019 - Elsevier
Structural supports (eg, concrete and steel) provide engineering structures with stability by
transferring loads. During the construction of an engineering structure, individuals are often …

Convolutional neural networks: Computer vision-based workforce activity assessment in construction

H Luo, C Xiong, W Fang, PED Love, B Zhang… - Automation in …, 2018 - Elsevier
Computer vision approaches have been widely used to automatically recognize the
activities of workers from videos. While considerable advancements have been made to …

[PDF][PDF] Earthmoving equipment automation: A review of technical advances and future outlook

ER Azar, VR Kamat - Journal of Information Technology in Construction …, 2017 - itcon.org
In the construction industry, the earthmoving sector is among the pioneers in adopting new
sensing and information technologies to reduce operation costs, improve productivity, and …

Automatic spatio-temporal analysis of construction site equipment operations using GPS data

N Pradhananga, J Teizer - Automation in construction, 2013 - Elsevier
A literature review revealed several major shortcomings in the analysis of construction
equipment operations data, for example, the lack of using realistic or real-time positioning …

Computer vision-based video interpretation model for automated productivity analysis of construction operations

J Gong, CH Caldas - Journal of Computing in Civil Engineering, 2010 - ascelibrary.org
Videotaping is an effective and inexpensive technique that has long been used in
construction to conduct productivity analyzes. However, as schedules of modern …

An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations

J Gong, CH Caldas - Automation in Construction, 2011 - Elsevier
Measuring the process of construction operations for productivity improvement remains a
difficult task for most construction companies due to the manual effort required in most …

Human intrusion detection in static hazardous areas at construction sites: Deep learning–based method

X Mei, X Zhou, F Xu, Z Zhang - Journal of Construction Engineering …, 2023 - ascelibrary.org
Construction sites have complex environments and high accident rates. Human intrusion
into static hazardous areas is a significant cause of accidents. Traditional engineering safety …

Vision-based workface assessment using depth images for activity analysis of interior construction operations

A Khosrowpour, JC Niebles… - Automation in Construction, 2014 - Elsevier
Workface assessment–the process of determining the overall activity rates of onsite
construction workers throughout a day–typically involves manual visual observations which …

Methodology for conducting discrete-event simulation studies in construction engineering and management

JC Martinez - Journal of Construction Engineering and Management, 2010 - ascelibrary.org
This paper suggests the methodology to follow when conducting discrete-event simulation
(DES) studies in construction engineering and management research. Emphasis is made on …