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 …

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 …

Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm

S Li, X Gu, X Xu, D Xu, T Zhang, Z Liu… - Construction and Building …, 2021 - Elsevier
Detecting concealed cracks in asphalt pavement has been a challenging task due to the
nonvisibility of the location of these cracks. This study proposes an effective method to …

State-of-the-art review on permanent deformation characterization of asphalt concrete pavements

R Joumblat, Z Al Basiouni Al Masri, G Al Khateeb… - Sustainability, 2023 - mdpi.com
Rutting is one of the significant distresses in flexible pavements. Examining the methods to
decrease permanent deformation is of considerable importance to provide long service life …

GPR laboratory tests and numerical models to characterize cracks in cement concrete specimens, exemplifying damage in rigid pavement

MA Rasol, V Pérez-Gracia, FM Fernandes, JC Pais… - Measurement, 2020 - Elsevier
Cracks in road pavements are usual damages because of heavy and dense traffic. Cracks
usually are hidden to visual inspections in the case of rigid pavements. In these cases …

A machine learning-based fast-forward solver for ground penetrating radar with application to full-waveform inversion

I Giannakis, A Giannopoulos… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The simulation, or forward modeling, of ground penetrating radar (GPR) is becoming a more
frequently used approach to facilitate the interpretation of complex real GPR data, and as an …

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 …

Pavement-distress detection using ground-penetrating radar and network in networks

Z Tong, D Yuan, J Gao, Y Wei, H Dou - Construction and Building Materials, 2020 - Elsevier
This study proposes a nondestructive testing technique for pavement distress detection
using ground-penetrating radar and network in networks. Ground-penetrating radar signals …

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 …

Efficient LBP-GLCM texture analysis for asphalt pavement raveling detection using eXtreme Gradient Boost

MH Daneshvari, E Nourmohammadi, M Ameri… - … and Building Materials, 2023 - Elsevier
The raveling of asphalt pavement is the primary cause of decreasing road safety, comfort,
and service life. Because of the asphalt's complex texture, automatic raveling detection from …