Thousands of images and videos are collected from construction projects during
construction. These contain valuable data that, if harnessed efficiently, can help automate or …

Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …

Deep learning object detection algorithms have proven their capacity to identify a variety of
objects from images and videos in near real-time speed. The construction industry can …

Learning from past accidents is pivotal for improving safety in construction. However, hazard
records are typically documented and stored as unstructured or semi-structured free-text …

Hazards potentially affect the safety of people on construction sites include falls from heights
(FFH), trench and scaffold collapse, electric shock and arc flash/arc blast, and failure to use …

Deep learning has been acknowledged as being robust in managing and controlling the
performance of construction safety. However, there is an absence of state-of-the-art review …

Field compliance checking aims to check the compliance of site operations with applicable
construction safety regulations for detecting violations. Relation extraction provides an …

The construction industry contributes significantly to economic development worldwide, yet it
is one of the most hazardous industries where numerous accidents and fatalities happen …

Examining past near-miss reports can provide us with information that can be used to learn
about how we can mitigate and control hazards that materialise on construction sites. Yet …

The drainage system is an important part of civil infrastructure. However, the underground
sewage pipe will gradually suffer from defects over time, such as tree roots, deposits …