Over recent decades, 3D point clouds have been a popular data source applied in automatic
change detection in a wide variety of applications. Compared with 2D images, using 3D …

Precast concrete components are increasingly used in construction. Since the inspection of
their quality is important and involves a large workload, automated methods have been …

This work presents a semi-automatic approach to the 3D reconstruction of Heritage-Building
Information Models from point clouds based on machine learning techniques. The use of …

Building Information Modelling (BIM) is a globally adapted methodology by government
organisations and builders who conceive the integration of the organisation, planning …

The integration of building information model (BIM) with point cloud from 3-D laser scanner
provides powerful assistance in a variety of applications in the life cycle of building …

This manuscript provides a robust framework for the extraction of common structural
components, such as columns, from terrestrial laser scanning point clouds acquired at …

Inspecting the diameter and spacing of rebar is an important task conducted by fabricators
and site engineers during the manufacturing and construction stages. This is because the …

Accurate and efficient inspection of rebar dimensions has proven to be a persistent
challenge for researchers and practitioners. This paper introduces a semantically enriched …

Object classification is a key differentiator of building information modeling (BIM) from three‐
dimensional (3D) computer‐aided design (CAD). Incorrect object classification impedes the …

A geometric digital twin (gDT) model capable of leveraging acquired 3D geometric data
plays a vital role in digitizing the process of structural health monitoring. This study presents …