3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review

K Mirzaei, M Arashpour, E Asadi, H Masoumi… - Advanced Engineering …, 2022 - Elsevier
Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …

Evolution of close-range detection and data acquisition technologies towards automation in construction progress monitoring

WS Alaloul, AH Qureshi, MA Musarat, S Saad - Journal of Building …, 2021 - Elsevier
Automated construction progress monitoring is the prevalent domain amongst researchers,
with much potential for improving digital monitoring technologies and related processes …

Review on automated quality inspection of precast concrete components

Z Ma, Y Liu, J Li - Automation in Construction, 2023 - Elsevier
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 …

[HTML][HTML] Factors impacting the implementation process of automated construction progress monitoring

AH Qureshi, WS Alaloul, WK Wing, S Saad… - Ain Shams Engineering …, 2022 - Elsevier
Automated monitoring technologies are being praised in the construction sector due to
effective and efficient outcomes. However, hesitation remains towards its adoption, and one …

Point cloud-based dimensional quality assessment of precast concrete components using deep learning

J Shu, W Li, C Zhang, Y Gao, Y Xiang, L Ma - Journal of Building …, 2023 - Elsevier
The dimensional quality of precast concrete (PC) subcomponents (concrete and rebars)
should be inspected in advance to ensure assembly quality. Currently, PC components are …

Artificial intelligence quality inspection of steel bars installation by integrating mask R-CNN and stereo vision

Y Kardovskyi, S Moon - Automation in Construction, 2021 - Elsevier
Contractors should conduct strict quality inspection of the steel bars used in concrete
structures and need to automate the process of quality inspection. The objective of this study …

Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites

M Kamari, Y Ham - Automation in Construction, 2021 - Elsevier
Emerging vision-based frameworks have demonstrated the great potential to robustly
perform volumetric measurements on point cloud models, which has several applications for …

Automated rebar diameter classification using point cloud data based machine learning

MK Kim, JPP Thedja, HL Chi, DE Lee - Automation in Construction, 2021 - Elsevier
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 …

Automated recognition and measurement based on three-dimensional point clouds to connect precast concrete components

W Zhao, Y Jiang, Y Liu, J Shu - Automation in Construction, 2022 - Elsevier
The connection between precast concrete (PC) components is vital during the construction
of prefabricated structures. However, PC components are generally inspected and …

Rebar inspection integrating augmented reality and laser scanning

HL Chi, MK Kim, KZ Liu, JPP Thedja, J Seo… - Automation in …, 2022 - Elsevier
Assuring conformity regarding the number, spacing, and location of rebars is an important
quality control task in a rebar operation. Nonconformity attributed to missing or mislocated …