In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …

Street vitality has become an essential indicator for evaluating the attractiveness and
potential of the sustainable development of urban blocks, and it can be reflected by the type …

Vision-based tracking of construction workers is the fundamental step for many automated
applications in off-site construction. This research proposes a vision-based method for …

Construction sites are highly hazardous due to the dynamic interaction between workers
and moving equipment, with high fatality rates caused by collision and falling from height …

Predicting unsafe behaviour in advance can enable remedial measures to be put in place to
mitigate likely accidents on construction sites. Prevailing safety studies in construction tend …

Operation-level vision-based monitoring and documentation has drawn significant attention
from construction practitioners and researchers. To automate the operation-level monitoring …

Contractors should conduct strict quality inspection of the steel bars used in concrete
structures and need to automate the process of quality inspection. The objective of this study …

Computer vision techniques are widely studied for automating the interpretation of sewer
pipe inspection videos, yet previous studies mainly focus on defect detection and …

Localization is critical to but also challenging for an efficient first response during indoor
emergency situations. This paper describes an economical indoor localization system with a …

Nighttime construction has been widely conducted in many construction scenarios, but it is
also much riskier due to low lighting conditions and fatiguing environments. Therefore, this …