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 …

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 …

GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection

Z Liu, X Gu, W Wu, X Zou, Q Dong, L Wang - Measurement, 2022 - Elsevier
The lack of data and poor quality of ground penetrating radar (GPR) images have limited the
development of the object detection for internal cracks in asphalt pavement. To address this …

Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground‐penetrating radar

PJ Chun, M Suzuki, Y Kato - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Ground‐penetrating radar (GPR) is widely used to determine the location of buried pipes
without excavation, and machine learning has been researched to automatically identify the …

Application of an improved YOLOv5 algorithm in real-time detection of foreign objects by ground penetrating radar

Z Qiu, Z Zhao, S Chen, J Zeng, Y Huang, B Xiang - Remote sensing, 2022 - mdpi.com
Ground penetrating radar (GPR) detection is a popular technology in civil engineering.
Because of its advantages of non-destructive testing (NDT) and high work efficiency, GPR is …

Recognition of void defects in airport runways using ground-penetrating radar and shallow CNN

J Zhang, Y Lu, Z Yang, X Zhu, T Zheng, X Liu… - Automation in …, 2022 - Elsevier
The interpretation of ground-penetrating radar (GPR) data usually depends on manual work,
thus yielding unsatisfactory accuracy when processing complicated cases. To address this …

Deep learning models for bridge deck evaluation using impact echo

S Dorafshan, H Azari - Construction and Building Materials, 2020 - Elsevier
Impact echo (IE) is a common nondestructive evaluation (NDE) method to detect subsurface
defects in concrete bridge decks. The conventional approach for analyzing the IE data …

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 …

[HTML][HTML] Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management

M Koohmishi, S Kaewunruen, L Chang… - Automation in Construction, 2024 - Elsevier
Railway track health monitoring and maintenance are crucial stages in railway asset
management, aiming to enhance the train operation quality and service life. For this aim …

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 …