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 …

Timely and accurate monitoring of onsite construction operations can bring an immediate
awareness on project specific issues. It provides practitioners with the information they need …

Adoption of digital information tools in the construction sector provides fertile ground for the
birth and growth of companies that specialize in applications of technologies to design and …

For proper construction site management and plan revisions during construction, it is
necessary to understand a construction site's status in real time. Many vision-based …

Image-based object detection provides a valuable basis for site information retrieval and
construction progress monitoring. Machine learning approaches, such as neural networks …

This paper presents a new appearance-based material classification method for monitoring
construction progress deviations at the operational-level. The method leverages 4D Building …

Timely and overall knowledge of the states and resource allocation of diverse activities on
construction sites is critical to resource leveling, progress tracking, and productivity analysis …

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 …

The ability to effectively communicate progress information and represent as-built and as-
planned progress discrepancies are identified as key components for successful project …