[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …
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 …
construction. These contain valuable data that, if harnessed efficiently, can help automate or …
Computer vision techniques in construction: a critical review
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 …
years, from medical to industrial robotics. The architecture, engineering and construction …
[HTML][HTML] Machine learning in construction: From shallow to deep learning
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 …
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
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 …
fall and electrocution) and collisions (resulted from struck by objects). As a preventive step …
Construction 4.0
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 …
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
Structural health monitoring (SHM) is used worldwide for managing and maintaining civil
infrastructures. SHM systems have produced huge amounts of data, but the effective …
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
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 …
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
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 …
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
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 …
stormwater. Pipe inspection is important in identifying both the type and location of pipe …