Computer vision-based construction progress monitoring
Automating the process of construction progress monitoring through computer vision can
enable effective control of projects. Systematic classification of available methods and …
enable effective control of projects. Systematic classification of available methods and …
Comprehensive review of deep learning-based 3d point cloud completion processing and analysis
Point cloud completion is a generation and estimation issue derived from the partial point
clouds, which plays a vital role in the applications of 3D computer vision. The progress of …
clouds, which plays a vital role in the applications of 3D computer vision. The progress of …
3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review
Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …
throughout the life cycle of construction and infrastructure projects. While applicable for …
[HTML][HTML] Application of terrestrial laser scanning (TLS) in the architecture, engineering and construction (AEC) industry
C Wu, Y Yuan, Y Tang, B Tian - Sensors, 2021 - mdpi.com
As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing
interest in the fields of architecture, engineering and construction (AEC), with outstanding …
interest in the fields of architecture, engineering and construction (AEC), with outstanding …
Classification and analysis of deep learning applications in construction: A systematic literature review
R Khallaf, M Khallaf - Automation in construction, 2021 - Elsevier
In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …
projects and emergent information. With the advent of deep learning, new opportunities …
Interactive and immersive process-level digital twin for collaborative human–robot construction work
Human cognition plays a critical role in construction work, particularly in the context of high-
level task planning and in-field improvisation. On the other hand, robots are adept at …
level task planning and in-field improvisation. On the other hand, robots are adept at …
PQA-Net: Deep no reference point cloud quality assessment via multi-view projection
Recently, 3D point cloud is becoming popular due to its capability to represent the real world
for advanced content modality in modern communication systems. In view of its wide …
for advanced content modality in modern communication systems. In view of its wide …
Digital twins in industry 5.0
Z Lv - Research, 2023 - spj.science.org
This work aims to explore the impact of Digital Twins Technology on industrial
manufacturing in the context of Industry 5.0. A computer is used to search the Web of …
manufacturing in the context of Industry 5.0. A computer is used to search the Web of …
Deep learning applications for point clouds in the construction industry
Deep learning (DL) on point clouds holds significant potential in the construction industry,
yet no comprehensive review has thoroughly summarized its applications and shortcomings …
yet no comprehensive review has thoroughly summarized its applications and shortcomings …
Scanning technologies to building information modelling: A review
Building information modelling (BIM) is evolving significantly in the architecture, engineering
and construction industries. BIM involves various remote-sensing tools, procedures and …
and construction industries. BIM involves various remote-sensing tools, procedures and …