The construction industry is one of the world's largest industries, with an annual budget of
$10 trillion globally. Despite its size, the efficiency and growth in labour productivity in the …

Abstract Machine learning models have been shown to be useful for predicting and
assessing structural performance, identifying structural condition and informing preemptive …

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 …

While unavoidable, inspections, progress monitoring, and comparing as-planned with as-
built conditions in construction projects do not readily add tangible intrinsic value to the end …

Abstract 3D point cloud data obtained from laser scans, images, and videos are able to
provide accurate and fast records of the 3D geometries of construction-related objects. Thus …

As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing
interest in the fields of architecture, engineering and construction (AEC), with outstanding …

Abstract Three-dimensional (3D) reconstruction techniques have been used to obtain the 3D
representations of objects in civil engineering in the form of point cloud models, mesh …

Detecting the presence of workers, plant, equipment, and materials (ie objects) on sites to
improve safety and productivity has formed an integral part of computer vision-based …

Abstract 3D point cloud data from sensing technologies such as 3D laser scanning and
photogrammetry are able to capture the 3D surface geometries of target objects in an …

Despite the emerging new data capturing technologies and advanced modelling systems,
the process of geometric digital twin modelling for existing buildings still lacks a systematic …