[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations

TD Akinosho, LO Oyedele, M Bilal, AO Ajayi… - Journal of Building …, 2020 - Elsevier
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …

Computer vision applications in construction: Current state, opportunities & challenges

S Paneru, I Jeelani - Automation in Construction, 2021 - Elsevier
Thousands of images and videos are collected from construction projects during
construction. These contain valuable data that, if harnessed efficiently, can help automate or …

Computer vision techniques in construction: a critical review

S Xu, J Wang, W Shou, T Ngo, AM Sadick… - … Methods in Engineering, 2021 - Springer
Computer vision has been gaining interest in a wide range of research areas in recent
years, from medical to industrial robotics. The architecture, engineering and construction …

[HTML][HTML] Machine learning in construction: From shallow to deep learning

Y Xu, Y Zhou, P Sekula, L Ding - Developments in the built environment, 2021 - Elsevier
The development of artificial intelligence technology is currently bringing about new
opportunities in construction. Machine learning is a major area of interest within the field of …

Deep learning for site safety: Real-time detection of personal protective equipment

ND Nath, AH Behzadan, SG Paal - Automation in construction, 2020 - Elsevier
The leading causes of construction fatalities include traumatic brain injuries (resulted from
fall and electrocution) and collisions (resulted from struck by objects). As a preventive step …

Construction 4.0

A Sawhney, M Riley, J Irizarry… - Sawhney, A., Riley, M …, 2020 - api.taylorfrancis.com
With the pervasive use of Building Information Modelling (BIM), lean principles, digital
technologies, and offsite construction, the industry is at the cusp of this transformation. The …

Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring

Z Tang, Z Chen, Y Bao, H Li - Structural Control and Health …, 2019 - Wiley Online Library
Structural health monitoring (SHM) is used worldwide for managing and maintaining civil
infrastructures. SHM systems have produced huge amounts of data, but the effective …

Computer vision for behaviour-based safety in construction: A review and future directions

W Fang, PED Love, H Luo, L Ding - Advanced Engineering Informatics, 2020 - Elsevier
The process of identifying and bringing to the fore people's unsafe behaviour is a core
function of implementing a behaviour-based safety (BBS) program in construction. This can …

Falls from heights: A computer vision-based approach for safety harness detection

W Fang, L Ding, H Luo, PED Love - Automation in construction, 2018 - Elsevier
Falls from heights (FFH) are major contributors of injuries and deaths in construction. Yet,
despite workers being made aware of the dangers associated with not wearing a safety …

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

JCP Cheng, M Wang - Automation in Construction, 2018 - Elsevier
Sanitary sewer systems are designed to collect and transport sanitary wastewater and
stormwater. Pipe inspection is important in identifying both the type and location of pipe …