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 …

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 …

Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks

Z Liu, X Gu, J Chen, D Wang, Y Chen, L Wang - Automation in Construction, 2023 - Elsevier
Pavement crack detection is critical for transportation infrastructure assessment using
ground penetrating radar (GPR). This paper describes a YOLOv3 model with four-scale …

Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN

Z Liu, JKW Yeoh, X Gu, Q Dong, Y Chen, W Wu… - Automation in …, 2023 - Elsevier
Non-destructive testing and characterization of internal vertical cracks are critical for road
maintenance by ground penetrating radar (GPR). This paper describes a mask region …

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 …

Novel YOLOv3 model with structure and hyperparameter optimization for detection of pavement concealed cracks in GPR images

Z Liu, X Gu, H Yang, L Wang, Y Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurately identifying and localizing concealed cracks in asphalt pavements through
nondestructive ground-penetrating radar (GPR) testing has attracted much attention …

Deep learning augmented infrared thermography for unmanned aerial vehicles structural health monitoring of roadways

NN Kulkarni, K Raisi, NA Valente, J Benoit, T Yu… - Automation in …, 2023 - Elsevier
Sinkholes form when culverts beneath roadways fail, posing a safety hazard that requires
costly repairs and causes traffic delays. Detecting the onset of sub-pavement voids can …

BIM-enabled infrastructure asset management using information containers and semantic web

P Hagedorn, L Liu, M König, R Hajdin… - Journal of Computing …, 2023 - ascelibrary.org
The paper proposes a solution for a Building Information Modeling (BIM)-enabled
Infrastructure Asset Management System (AMS) for road owners. The approach provides …

Discrimination between dry and water ices by full polarimetric radar: Implications for China's first martian exploration

H Liu, J Li, X Meng, B Zhou, G Fang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
China's first Mars rover named “Zhurong” has begun its exploration at the surface of the
Utopian Plain in the Martian northern hemisphere on May 22, 2021. Mars rover penetrating …

Bayesian optimization based random forest and extreme gradient boosting for the pavement density prediction in GPR detection

Y Chen, F Li, S Zhou, X Zhang, S Zhang… - … and building materials, 2023 - Elsevier
The Ground penetrating radar (GPR) adopts non-destructive and continuous
electromagnetic (EM) monitoring technology that is influenced by the dielectric properties of …