A review of GPR application on transport infrastructures: Troubleshooting and best practices
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 …
the need to protect these facilities for mobility, and for economic and social development …
Review of artificial intelligence-based bridge damage detection
Bridges are often located in harsh environments and are thus extremely susceptible to
damage. If the initial damage is not detected in time, it can develop further causing safety …
damage. If the initial damage is not detected in time, it can develop further causing safety …
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 …
Condition assessment of concrete-made structures using ground penetrating radar
The condition assessment of civil engineering concrete-made structures has been a
prevalent research area over the last thirty years as a result of concrete deterioration …
prevalent research area over the last thirty years as a result of concrete deterioration …
A computer vision based rebar detection chain for automatic processing of concrete bridge deck GPR data
Abstract Manual processing of Ground Penetrating Radar (GPR) images is a very time-
intensive task. The authors proposed a novel computer vision-based method for automatic …
intensive task. The authors proposed a novel computer vision-based method for automatic …
Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree
This paper presents a novel artificial intelligence model to automatically recognize concrete
spall appearing on building components. The model is constructed by integrating a …
spall appearing on building components. The model is constructed by integrating a …
Three-dimensional convolutional neural network–based underground object classification using three-dimensional ground penetrating radar data
S Khudoyarov, N Kim, JJ Lee - Structural Health Monitoring, 2020 - journals.sagepub.com
Ground-penetrating radar is a typical sensor system for analyzing underground facilities
such as pipelines and rebars. The technique also can be used to detect an underground …
such as pipelines and rebars. The technique also can be used to detect an underground …
From its core to the niche: Insights from GPR applications
Thanks to its non-destructive, high-resolution imaging possibilities and its sensitivity to both
conductive and dielectric subsurface structures, Ground-Penetrating Radar (GPR) has …
conductive and dielectric subsurface structures, Ground-Penetrating Radar (GPR) has …
Corrosion assessment using ground penetrating radar in reinforced concrete structures: Influential factors and analysis methods
Reinforcement corrosion is a common cause of damage in concrete structures, resulting in
cracking and spalling of the surrounding concrete. Recently, ground penetrating radar …
cracking and spalling of the surrounding concrete. Recently, ground penetrating radar …
Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review
Corrosion under insulations is described as localized corrosion that forms because of
moisture penetration through the insulation materials or due to contaminants' presence …
moisture penetration through the insulation materials or due to contaminants' presence …