Fueled by big data, powerful and affordable computing resources, and advanced algorithms,
machine learning has been explored and applied to buildings research for the past decades …

Purpose The future construction site will be pervasive, context aware and embedded with
intelligence. The purpose of this paper is to explore and define the concept of the digital skin …

With the rapid advancement of laser scanning and photogrammetry technologies, frequent
geometric data collection at construction sites by contractors has been increased for the …

Self-supervised learning aims to learn image feature representations without the usage of
manually annotated labels. It is often used as a precursor step to obtain useful initial network …

Automatically monitoring construction progress or generating Building Information Models
using site images collections–beyond point cloud data–requires semantic information such …

Early detection of actual or potential schedule delay in field construction activities is vital to
project management. This entails project managers to design, implement, and maintain a …

As-built models and drawings are essential documents used during the operations and
maintenance (O&M) of buildings for a variety of purposes including the management of …

Modern construction projects require sufficient planning and management of resources to
become successful. Core issues are tasks that deal with maintaining the schedule, such as …

Emerging wireless remote sensing technologies offer significant potential to advance the
management of construction processes by providing real-time access to the locations of …

Accurate assessment of progress allows managers to make adjustments to minimise costs
when deviations from the schedule occur. Current practices of predicting the performance of …