As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing
interest in the fields of architecture, engineering and construction (AEC), with outstanding …

Deep learning (DL) on point clouds holds significant potential in the construction industry,
yet no comprehensive review has thoroughly summarized its applications and shortcomings …

Automatic construction progress documentation and metric evaluation of execution work in
confined building interiors requires particularly reliable geometric evaluation and …

Transformers have been at the heart of the Natural Language Processing (NLP) and
Computer Vision (CV) revolutions. The significant success in NLP and CV inspired exploring …

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 …

In recent years, deep learning techniques for processing 3D point cloud data have seen
significant advancements, given their unique ability to extract relevant features and handle …

Although deep learning techniques have brought unprecedented accuracy to automatic
building extraction, several main issues still constitute an obstacle to effective and practical …

Digital twin tools for additive manufacturing (AM) are constrained by the underlying
representations of component geometry that are currently in wide use. Mesh, voxel, and …

Discovering seepage is widely thought to be critical for maintaining the healthy conditions of
the tunnel. Unfortunately, most of the seepage surveys are still manual with tedious, time …

Despite the availability of 3D digital models, 2D floor plans remain extensively used for
quality inspection and maintenance as they offer firsthand information. While laser scanners …