[HTML][HTML] Computer vision-based bridge inspection and monitoring: A review

K Luo, X Kong, J Zhang, J Hu, J Li, H Tang - Sensors, 2023 - mdpi.com
Bridge inspection and monitoring are usually used to evaluate the status and integrity of
bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods …

[HTML][HTML] Enabling technologies for remote and virtual inspection of building work

S Einizinab, K Khoshelham, S Winter… - Automation in …, 2023 - Elsevier
Emerging remote inspection technologies are addressing the challenges of conventional
building work inspections by reducing time, cost, and safety risks for inspectors, while also …

[HTML][HTML] Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification

S Matarneh, F Elghaish, FP Rahimian… - Automation in …, 2024 - Elsevier
This study explored the performance of ten pre-trained CNN architectures in detecting and
classifying asphalt pavement cracks from images. A comparison of eight optimisation …

Applicability of smart construction technology: Prioritization and future research directions

H Ahn, C Lee, M Kim, T Kim, D Lee, W Kwon… - Automation in …, 2023 - Elsevier
The potential for facilitating faster, safer, and more sustainable construction processes
through the adoption of smart construction technologies is widely recognized. However, the …

[HTML][HTML] Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey

K Zhou, Z Wang, YQ Ni, Y Zhang, J Tang - Journal of Infrastructure …, 2023 - Elsevier
With the rapid advance in camera sensor technology, the acquisition of high-resolution
images or videos has become extremely convenient and cost-effective. Computer vision that …

[HTML][HTML] Automatic detection of corrosion in large-scale industrial buildings based on artificial intelligence and unmanned aerial vehicles

R Lemos, R Cabral, D Ribeiro, R Santos, V Alves… - Applied Sciences, 2023 - mdpi.com
In recent years, Artificial Intelligence (AI) provided essential tools to enhance the productivity
of activities related to civil engineering, particularly in design, construction, and …

[HTML][HTML] Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers

N Hütten, M Alves Gomes, F Hölken… - Applied System …, 2024 - mdpi.com
Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …

[HTML][HTML] Railway bridge geometry assessment supported by cutting-edge reality capture technologies and 3D as-designed models

R Cabral, R Oliveira, D Ribeiro, AM Rakoczy, R Santos… - Infrastructures, 2023 - mdpi.com
Documentation of structural visual inspections is necessary for its monitoring, maintenance,
and decision about its rehabilitation, and structural strengthening. In recent times, close …

Multi-layers deep learning model with feature selection for automated detection and classification of highway pavement cracks

F Elghaish, S Matarneh, E Abdellatef… - Smart and Sustainable …, 2024 - emerald.com
Purpose Cracks are prevalent signs of pavement distress found on highways globally. The
use of artificial intelligence (AI) and deep learning (DL) for crack detection is increasingly …

Effect of membrane electrode assembly characteristics on the performance of a proton exchange membrane fuel cell stack designed for unmanned aerial vehicle …

DFM Santos, DS Falcão, AMFR Pinto… - International Journal of …, 2024 - Taylor & Francis
ABSTRACT A proton exchange membrane fuel cell stack designed for unmanned aerial
vehicle applications was used to evaluate the influence of several membrane electrode …