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 …

Effective progress monitoring is ineviTable for completing the construction of building and
infrastructure projects successfully. In this digital transformation era, with the data-centric …

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 …

Effective progress monitoring is crucial for successful construction project delivery. Visual
data, comprising images and videos of construction operations, has emerged as a valuable …

This research focuses on developing a robot digital twin (DT) and the communication
methods to connect it with the corresponding physical robot in collaborative human–robot …

Collaborative robot (co-robots) are being increasingly deployed on construction sites to
assist human workers with physically demanding work tasks. However, due to inherent …

Interior construction makes up a large portion of project budget and time and is more prone
to schedule delays. Most research efforts on progress management focus on exterior …

Combining and completing point cloud data from two or more sensors with arbitrarily relative
perspectives in a dynamic, cluttered, and complex environment is challenging, especially …

Improving the rapidity of 3D reconstruction is vital for time-critical construction tasks such as
progress monitoring and hazard detection, but the majority of construction studies in this …

State-of-the-art in construction document analytics and progress detection has experienced
accelerated growth over the last decade. However, each area encountered isolated growth …