[PDF][PDF] A review on deep learning-based structural health monitoring of civil infrastructures

XW Ye, T Jin, CB Yun - Smart Struct. Syst, 2019 - researchgate.net
In the past two decades, structural health monitoring (SHM) systems have been widely
installed on various civil infrastructures for the tracking of the state of their structural health …

A review of GPR application on transport infrastructures: Troubleshooting and best practices

M Solla, V Pérez-Gracia, S Fontul - Remote Sensing, 2021 - mdpi.com
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 …

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 …

Detection and localization of rebar in concrete by deep learning using ground penetrating radar

H Liu, C Lin, J Cui, L Fan, X Xie, BF Spencer - Automation in construction, 2020 - Elsevier
Ground penetrating radar (GPR) has been widely used for detection and localization of
reinforced steel bar (rebar) in concrete in a non-destructive way. However, manual …

Automated rebar recognition and corrosion assessment of concrete bridge decks using ground penetrating radar

N Faris, T Zayed, A Fares, S Abdelkhalek… - Automation in …, 2024 - Elsevier
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) …

Automatic hyperbola detection and fitting in GPR B-scan image

W Lei, F Hou, J Xi, Q Tan, M Xu, X Jiang, G Liu… - Automation in …, 2019 - Elsevier
Detecting buried objects from ground penetrating radar (GPR) profiles often requires manual
interaction and plenty of time. This paper presents an automatic scheme for buried objects …

Advances of deep learning applications in ground-penetrating radar: A survey

Z Tong, J Gao, D Yuan - Construction and Building Materials, 2020 - Elsevier
Deep learning has achieved state-of-the-art performance on signal and image processing.
Due to the remarkable success, it has been applied in more challenging tasks, such as …

Automatic detection of moisture damages in asphalt pavements from GPR data with deep CNN and IRS method

J Zhang, X Yang, W Li, S Zhang, Y Jia - Automation in Construction, 2020 - Elsevier
Accurate detection and localization of moisture damage in asphalt pavements using Ground
Penetrating Radars (GPR) has been attracting more and more interest in research. Existing …

Review of non-destructive civil infrastructure evaluation for bridges: State-of-the-art robotic platforms, sensors and algorithms

H Ahmed, HM La, N Gucunski - Sensors, 2020 - mdpi.com
The non-destructive evaluation (NDE) of civil infrastructure has been an active area of
research in recent decades. The traditional inspection of civil infrastructure mostly relies on …

Improved Mask R-CNN with distance guided intersection over union for GPR signature detection and segmentation

F Hou, W Lei, S Li, J Xi, M Xu, J Luo - Automation in Construction, 2021 - Elsevier
Ground penetrating radar (GPR) has been used for non-destructive inspection of civil
infrastructure systems such as bridges and pipelines. Manually extracting useful data from a …