Combined use of GPR and other NDTs for road pavement assessment: An overview
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 …
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 …
ground penetrating radar (GPR). This paper describes a YOLOv3 model with four-scale …
Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends
Affected by soil erosion and material deterioration, road subsurface is prone to distress such
as cavities, water-rich, and cracks. Ground penetrating radar (GPR), as a real-time …
as cavities, water-rich, and cracks. Ground penetrating radar (GPR), as a real-time …
Automatic recognition and localization of underground pipelines in GPR B-scans using a deep learning model
Ground penetrating radar (GPR) is a popular non-destructive method for detecting and
locating underground pipelines. However, manual interpretation of a large number of GPR B …
locating underground pipelines. However, manual interpretation of a large number of GPR B …
Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation
Tunnel lining inspection using ground penetrating radar (GPR) is a routine procedure to
ensure construction quality. Yet, the interpretation of GPR data relies heavily on manual …
ensure construction quality. Yet, the interpretation of GPR data relies heavily on manual …
GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection
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 …
development of the object detection for internal cracks in asphalt pavement. To address this …
End-to-end deep learning model for underground utilities localization using GPR
Underground utilities (UUs) are key infrastructures in urban life operations. The localization
of UUs is vital to governments and residents in terms of asset management, utility planning …
of UUs is vital to governments and residents in terms of asset management, utility planning …
Automated rebar recognition and corrosion assessment of concrete bridge decks using ground penetrating radar
Reinforcement corrosion is a leading cause of damage in concrete bridge decks, resulting in
cracking and spalling in the concrete cover. Recently, ground penetrating radar (GPR) …
cracking and spalling in the concrete cover. Recently, ground penetrating radar (GPR) …
Detection of road cavities in urban cities by 3D ground-penetrating radar
Cavities under urban roads have increasingly become a great threat to traffic safety in many
cities. As a quick, effective, and high-resolution geophysical method, ground-penetrating …
cities. As a quick, effective, and high-resolution geophysical method, ground-penetrating …
[HTML][HTML] TunGPR: Enhancing data-driven maintenance for tunnel linings through synthetic datasets, deep learning and BIM
Non-destructive Testing (NDT) techniques and data-driven technologies are increasingly
applied in underground infrastructure maintenance, which can facilitate predictive …
applied in underground infrastructure maintenance, which can facilitate predictive …