Abstract 3D point cloud data obtained from laser scans, images, and videos are able to
provide accurate and fast records of the 3D geometries of construction-related objects. Thus …

We present a novel method for reconstructing parametric, volumetric, multi-story building
models from unstructured, unfiltered indoor point clouds with oriented normals by means of …

Except for various properties, accurate and intuitive 3D representations of building elements
and spaces are embedded in Building Information Models (BIMs). Thus, better …

Automation in point cloud data processing is central in knowledge discovery within decision-
making systems. The definition of relevant features is often key for segmentation and …

In recent years, exponential growth has been detected in research efforts focused on
automated construction progress monitoring. Despite various data acquisition methods and …

To address the need for a shift from a linear to a circular economy in the built environment,
this paper develops a semi-automated assistive process for planning building material …

Automated construction progress monitoring using as-planned building information
modeling (BIM) and as-built point cloud data integration has substantial potential and could …

Because point clouds have reality measurements of physical objects, they are often used to
reconstruct the as-built three-dimensional (3D) model of building construction sites through …

There has been significant research on the intersection of 3D cadastre and building
information modelling (BIM) over the recent years. BIM provides a multidimensional …

The construction sector in China released 5.08 billion tons of CO 2 in 2020, which
accounted for 50.9% of national carbon emissions. With the establishment of a clean energy …