Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …

Automated construction progress monitoring is the prevalent domain amongst researchers,
with much potential for improving digital monitoring technologies and related processes …

Purpose The purpose of this research is to develop a generic framework of a digital twin
(DT)-based automated construction progress monitoring through reality capture to extended …

In architecture, urban culture inheritance plays a nontrivial role in the urban renovation of a
city. The existing design workflow for architects is laborious from the research phase to the …

Point cloud processing is an essential task in many applications in the AEC domain, such as
automated progress assessment, quality control and 3D reconstruction. As much of the …

As the key to the construction progress monitoring, methods and strategies for change
detection using 3D point clouds from various sources have been investigated for years …

Automated monitoring technologies are being praised in the construction sector due to
effective and efficient outcomes. However, hesitation remains towards its adoption, and one …

Change detection has been increasingly studied in remote and close-range sensing in the
last decades, driven by its importance in environment monitoring and database updating …

Change detection is an important step for the characterization of object dynamics at the
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …

Automatic comparison of time-variant BIM models facilitates value-added applications
during the building life cycle. This paper addresses a solution capable of exploring changes …