A review of GPR application on transport infrastructures: Troubleshooting and best practices

M Solla, V Pérez-Gracia, S Fontul - Remote Sensing, 2021 - mdpi.com
The non-destructive testing and diagnosis of transport infrastructures is essential because of
the need to protect these facilities for mobility, and for economic and social development …

Image segmentation techniques: statistical, comprehensive, semi-automated analysis and an application perspective analysis of mathematical expressions

Sakshi, V Kukreja - Archives of Computational Methods in Engineering, 2023 - Springer
Segmentation has been a rooted area of research having diverse dimensions. The roots of
image segmentation and its associated techniques have supported computer vision, pattern …

Automated rebar recognition and corrosion assessment of concrete bridge decks using ground penetrating radar

N Faris, T Zayed, A Fares, S Abdelkhalek… - Automation in …, 2024 - Elsevier
Reinforcement corrosion is a leading cause of damage in concrete bridge decks, resulting in
cracking and spalling in the concrete cover. Recently, ground penetrating radar (GPR) …

Investigation of steel frame damage based on computer vision and deep learning

B Kim, N Yuvaraj, HW Park, KRS Preethaa… - Automation in …, 2021 - Elsevier
Visual damage inspection of steel frames by eyes alone is time-consuming and
cumbersome; therefore, it produces inconsistent results. Existing computer vision-based …

Review of GPR activities in Civil Infrastructures: Data analysis and applications

F Hou, X Rui, X Fan, H Zhang - Remote Sensing, 2022 - mdpi.com
Ground penetration radar (GPR) technology has received in-depth analysis and rapid
development in the field of civil engineering. GPR data analysis is one of the basic and …

Simultaneous tunnel defects and lining thickness identification based on multi-tasks deep neural network from ground penetrating radar images

B Liu, J Zhang, M Lei, S Yang, Z Wang - Automation in Construction, 2023 - Elsevier
The overall assessment of tunnel lining, including shapes, categories, and depths of tunnel
internal defects as well as the thickness of tunnel linings is vital to the safe operation of …

Condition assessment of concrete-made structures using ground penetrating radar

M Alsharqawi, T Dawood, S Abdelkhalek… - Automation in …, 2022 - Elsevier
The condition assessment of civil engineering concrete-made structures has been a
prevalent research area over the last thirty years as a result of concrete deterioration …

Developing a new deep learning CNN model to detect and classify highway cracks

F Elghaish, S Talebi, E Abdellatef… - Journal of Engineering …, 2022 - emerald.com
Purpose This paper aims to Test the capabilities/accuracies of four deep learning pre trained
convolutional neural network (CNN) models to detect and classify types of highway cracks …

Underground cylindrical objects detection and diameter identification in GPR B-scans via the CNN-LSTM framework

W Lei, J Luo, F Hou, L Xu, R Wang, X Jiang - Electronics, 2020 - mdpi.com
Ground penetrating radar (GPR), as a non-invasive instrument, has been widely used in the
civil field. The interpretation of GPR data plays a vital role in underground infrastructures to …

Deep learning for detecting distresses in buildings and pavements: a critical gap analysis

F Elghaish, ST Matarneh, S Talebi… - Construction …, 2022 - emerald.com
Purpose The massive number of pavements and buildings coupled with the limited
inspection resources, both monetary and human, to detect distresses and recommend …