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GPR monitoring for road transport infrastructure: A systematic review and machine learning insights
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 …
of people and goods. Moreover, a reliable transportation network is a crucial aspect of …
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN
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 …
maintenance by ground penetrating radar (GPR). This paper describes a mask region …
Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks
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 …
[HTML][HTML] 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 …
development in the field of civil engineering. GPR data analysis is one of the basic and …
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 …
Application of combining YOLO models and 3D GPR images in road detection and maintenance
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 …
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
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 …
dangerous, and this imposes high requirements for the detection of potential defect areas …
Deep-learning-based automatic sinkhole recognition: application to the eastern dead sea
Sinkholes can cause significant damage to infrastructures, agriculture, and endanger lives in
active karst regions like the Dead Sea's eastern shore at Ghor Al-Haditha. The common …
active karst regions like the Dead Sea's eastern shore at Ghor Al-Haditha. The common …
Deep learning based method for 3D reconstruction of underground pipes in 3D GPR C-scan data
Many urban underground locations suffer from incomplete or inaccurate records.
Nevertheless, a comprehensive understanding of the subsurface conditions is crucial …
Nevertheless, a comprehensive understanding of the subsurface conditions is crucial …
A comprehensive review of conventional and deep learning approaches for ground-penetrating radar detection of raw data
Ground-penetrating radar (GPR) is a nondestructive testing technology that is widely applied
in infrastructure maintenance, archaeological research, military operations, and other …
in infrastructure maintenance, archaeological research, military operations, and other …