Real-time monitoring of construction sites: Sensors, methods, and applications

AS Rao, M Radanovic, Y Liu, S Hu, Y Fang… - Automation in …, 2022 - Elsevier
The construction industry is one of the world's largest industries, with an annual budget of
$10 trillion globally. Despite its size, the efficiency and growth in labour productivity in the …

Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018

Q Wang, MK Kim - Advanced engineering informatics, 2019 - Elsevier
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 …

On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning

FP Rahimian, S Seyedzadeh, S Oliver… - Automation in …, 2020 - Elsevier
While unavoidable, inspections, progress monitoring, and comparing as-planned with as-
built conditions in construction projects do not readily add tangible intrinsic value to the end …

Computer vision-based interior construction progress monitoring: A literature review and future research directions

B Ekanayake, JKW Wong, AAF Fini, P Smith - Automation in Construction, 2021 - Elsevier
Computer vision (CV)-based technologies have been used to automate construction
progress monitoring. The automation attempts to maximise precision and minimise human …

A decade of modern bridge monitoring using terrestrial laser scanning: Review and future directions

M Rashidi, M Mohammadi, S Sadeghlou Kivi… - Remote Sensing, 2020 - mdpi.com
Over the last decade, particular interest in using state-of-the-art emerging technologies for
inspection, assessment, and management of civil infrastructures has remarkably increased …

Critical review of data-driven decision-making in bridge operation and maintenance

C Wu, P Wu, J Wang, R Jiang, M Chen… - Structure and …, 2021 - Taylor & Francis
Bridges are critical infrastructure, and effective operation and maintenance (O&M) is
essential for ensuring the good condition of bridges. Owing to the increasing complexity of …

Semantic segmentation of point clouds of building interiors with deep learning: Augmenting training datasets with synthetic BIM-based point clouds

JW Ma, T Czerniawski, F Leite - Automation in construction, 2020 - Elsevier
This paper investigates the viability of using synthetic point clouds generated from building
information models (BIMs) to train deep neural networks to perform semantic segmentation …

Data acquisition technologies for construction progress tracking

T Omar, ML Nehdi - Automation in construction, 2016 - Elsevier
Falling behind schedule and having discrepancy between the as-built and designed
baseline plans are unfavourable events that often occur in construction projects. Hence, real …

Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM

MK Kim, Q Wang, JW Park, JCP Cheng, H Sohn… - Automation in …, 2016 - Elsevier
This study presents a quality inspection technique for full-scale precast concrete elements
using laser scanning and building information modeling (BIM). In today's construction …

[HTML][HTML] State of research in automatic as-built modelling

V Pătrăucean, I Armeni, M Nahangi, J Yeung… - Advanced Engineering …, 2015 - Elsevier
Abstract Building Information Models (BIMs) are becoming the official standard in the
construction industry for encoding, reusing, and exchanging information about structural …