Automatic recognition and localization of underground pipelines in GPR B-scans using a deep learning model

H Liu, Y Yue, C Liu, BF Spencer Jr, J Cui - Tunnelling and Underground …, 2023 - Elsevier
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 …

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 …

Review of artificial intelligence applications for virtual sensing of underground utilities

KS Oguntoye, S Laflamme, R Sturgill, DJ Eisenmann - Sensors, 2023 - mdpi.com
Accurately identifying the location and depth of buried utility assets became a considerable
challenge in the construction industry, for which accidental strikes can cause important …

States of practice and research on applying GPR technology for labeling and scanning constructed facilities

Z Xiang, A Rashidi, GG Ou - Journal of Performance of Constructed …, 2019 - ascelibrary.org
Abstract Ground Penetration Radar (GPR) is now a mature technology with various
applications for scanning different types of constructed facilities including underground …

Automatic recognition of defects behind railway tunnel linings in GPR images using transfer learning

Y Yue, H Liu, C Lin, X Meng, C Liu, X Zhang, J Cui… - Measurement, 2024 - Elsevier
Ground-penetrating radar (GPR) is widely used for non-destructive detection of hidden
defects behind railway tunnel linings, including non-compactness, air-and water-filled voids …

Some good practices for applying convolutional neural networks to buried threat detection in Ground Penetrating Radar

D Reichman, LM Collins… - 2017 9th International …, 2017 - ieeexplore.ieee.org
Ground Penetrating Radar (GPR) is a remote sensing modality that has been researched
extensively for buried threat detection. For this purpose, algorithms can be developed to …

An improved convolutional neural network system for automatically detecting rebar in GPR data

Z Xiang, A Rashidi, G Ou - … on Computing in Civil Engineering 2019, 2019 - ascelibrary.org
As a mature technology, ground penetration radar (GPR) is now widely employed in
detecting rebar and other embedded elements in concrete structures. Manually recognizing …

Improving convolutional neural networks for buried target detection in ground penetrating radar using transfer learning via pretraining

J Bralich, D Reichman, LM Collins… - Detection and Sensing …, 2017 - spiedigitallibrary.org
The Ground Penetrating Radar (GPR) is a remote sensing modality that has been used to
collect data for the task of buried threat detection. The returns of the GPR can be organized …

A large-scale multi-institutional evaluation of advanced discrimination algorithms for buried threat detection in ground penetrating radar

JM Malof, D Reichman, A Karem… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
In this paper, we consider the development of algorithms for the automatic detection of
buried threats using ground penetrating radar (GPR) measurements. GPR is one of the most …

Automatic corrosive environment detection of RC bridge decks from ground-penetrating radar data based on deep learning

YC Zhang, TH Yi, S Lin, HN Li, S Lv - Journal of Performance of …, 2022 - ascelibrary.org
Detecting the corrosive environment of reinforced concrete (RC) bridge decks is of critical
importance for evaluating the reliability and safety of bridge structures. However, accurately …