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 …

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 …

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 …

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 …

Application of combining YOLO models and 3D GPR images in road detection and maintenance

Z Liu, W Wu, X Gu, S Li, L Wang, T Zhang - Remote Sensing, 2021 - mdpi.com
Improving the detection efficiency and maintenance benefits is one of the greatest
challenges in road testing and maintenance. To address this problem, this paper presents a …

Defects identification and location of underground space for ground penetrating radar based on deep learning

H Hu, H Fang, N Wang, D Ma, J Dong, B Li, D Di… - … and Underground Space …, 2023 - Elsevier
Collapses of urban roads caused by defects in shallow underground spaces are extremely
dangerous, and this imposes high requirements for the detection of potential defect areas …

Wavelet scattering network-based machine learning for ground penetrating radar imaging: Application in pipeline identification

Y Jin, Y Duan - Remote Sensing, 2020 - mdpi.com
Automatic and efficient ground penetrating radar (GPR) data analysis remains a bottleneck,
especially restricting applications in real-time monitoring systems. Deep learning …

MV-GPRNet: multi-view subsurface defect detection network for airport runway inspection based on GPR

N Li, R Wu, H Li, H Wang, Z Gui, D Song - Remote Sensing, 2022 - mdpi.com
The detection and restoration of subsurface defects are essential for ensuring the structural
reliability of airport runways. Subsurface inspections can be performed with the aid of a robot …

3D-GPR-RM: A Method for Underground Pipeline Recognition Using 3-Dimensional GPR Images

X Bai, Y Yang, Z Wen, S Wei, J Zhang, J Liu, H Li… - Applied Sciences, 2023 - mdpi.com
Ground penetrating radar (GPR), as a non-destructive and rapid detection instrument, has
been widely used for underground pipeline detection. However, as the interpretation of 3 …