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

Ensuring traffic safety is crucial, which necessitates the detection and prevention of road
surface defects. As a result, there has been a growing interest in the literature on the subject …

Abstract Quality Assurance and Quality Control (QA/QC) play a crucial role in the building
project life cycle, especially during construction, as discrepancies between as-built …

Obtaining accurate information of defective areas of infrastructures helps to perform repair
actions more efficiently. Recently, LiDAR scanners have been used for the inspection of …

In recent years, 3D point clouds (PCs) have gained significant attention due to their diverse
applications across various fields, such as computer vision (CV), condition monitoring (CM) …

Laser scanning provides an efficient solution to digital twin construction in civil engineering.
The complexity and redundancy of large-scale point clouds substantially prolong the labor …

Automated high-precision crack detection on building structures under poor lighting
conditions poses a significant challenge for traditional image-based methods. Overcoming …

Bridge underwater foundation inspection is always a prominent and challenging issue due
to an unknown and unsafe underwater environment. Effective identification of bridge …

Masonry lined tunnel condition assessment is a predominantly manual process. It consists
primarily of a visual inspection followed by a lengthy and subjective manual defect labelling …

In a post-earthquake environment, manual inspection is resource-intensive and subjective.
This article presents a real-world damage assessment study of the Improved Iterative Bi …