GPR monitoring for road transport infrastructure: A systematic review and machine learning insights

M Rasol, JC Pais, V Pérez-Gracia, M Solla… - … and Building Materials, 2022 - Elsevier
Suitable road pavements assessment becomes essential to provide safe traffic movements
of people and goods. Moreover, a reliable transportation network is a crucial aspect of …

[HTML][HTML] 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 …

[HTML][HTML] Combined use of GPR and other NDTs for road pavement assessment: An overview

A Elseicy, A Alonso-Díaz, M Solla, M Rasol… - Remote Sensing, 2022 - mdpi.com
Roads are the main transportation system in any country and, therefore, must be maintained
in good physical condition to provide a safe and seamless flow to transport people and …

Deep learning-based pavement subsurface distress detection via ground penetrating radar data

Y Li, C Liu, G Yue, Q Gao, Y Du - Automation in Construction, 2022 - Elsevier
Pavement subsurface distress endangers driving safety and road serviceability. Ground
penetrating radar (GPR) can non-destructively provides high-resolution profiles of road …

Condition assessment of transportation infrastructure using ground-penetrating radar

KR Maser - Journal of infrastructure systems, 1996 - ascelibrary.org
Ground-penetrating radar (GPR) technology has been applied to the evaluation of
pavements, bridge decks, abutments, piers, and other constructed facilities to assess as-built …

Automatic classification of pavement distress using 3D ground-penetrating radar and deep convolutional neural network

X Liang, X Yu, C Chen, Y Jin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The realization of nondestructive detection and classification of pavement distress is of great
significance for putting forward a reasonable maintenance scheme and prolonging the …

Autonomous pavement distress detection using ground penetrating radar and region-based deep learning

J Gao, D Yuan, Z Tong, J Yang, D Yu - Measurement, 2020 - Elsevier
Many data processing technologies have been utilized for pavement distress detection (eg,
reflection cracks, water-damage pits, and uneven settlements) using ground penetrating …

[HTML][HTML] 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 …

A machine learning based approach for automatic rebar detection and quantification of deterioration in concrete bridge deck ground penetrating radar B-scan images

P Asadi, M Gindy, M Alvarez - KSCE Journal of Civil Engineering, 2019 - Springer
Ground penetrating radar (GPR) is a non-destructive method (NDT) for subsurface object
identification. Interpretation of GPR data is often done manually by an engineer, which is a …

In-situ recognition of moisture damage in bridge deck asphalt pavement with time-frequency features of GPR signal

J Zhang, C Zhang, Y Lu, T Zheng, Z Dong… - … and Building Materials, 2020 - Elsevier
A complete solution, including an effective non-destructive evaluation (NDE) method and an
automatic recognition model, was provided for the rapid diagnosis of moisture damage in …