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Developments, challenges, and perspectives of railway inspection robots
Railway inspection robots have been developed and used to gradually replace human
inspectors in recent years. This paper reviews the recent developments on railway …
inspectors in recent years. This paper reviews the recent developments on railway …
Artificial neural networks and machine learning techniques applied to ground penetrating radar: A review
XL Travassos, SL Avila, N Ida - Applied Computing and Informatics, 2021 - emerald.com
Ground Penetrating Radar is a multidisciplinary Nondestructive Evaluation technique that
requires knowledge of electromagnetic wave propagation, material properties and antenna …
requires knowledge of electromagnetic wave propagation, material properties and antenna …
Detection and localization of rebar in concrete by deep learning using ground penetrating radar
H Liu, C Lin, J Cui, L Fan, X **e, 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 …
reinforced steel bar (rebar) in concrete in a non-destructive way. However, manual …
Underground cylindrical objects detection and diameter identification in GPR B-scans via the CNN-LSTM framework
W Lei, J Luo, F Hou, L Xu, R Wang, X Jiang - Electronics, 2020 - mdpi.com
Ground penetrating radar (GPR), as a non-invasive instrument, has been widely used in the
civil field. The interpretation of GPR data plays a vital role in underground infrastructures to …
civil field. The interpretation of GPR data plays a vital role in underground infrastructures to …
Underground anomaly detection in gpr data by learning in the c3 model space
X Zhou, S Liu, A Chen, Q Chen, F **ong… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Ground-penetrating radar (GPR) provides an effective means for underground anomaly
detection, but it is also accompanied by some practical issues such as the lack of prior …
detection, but it is also accompanied by some practical issues such as the lack of prior …
3D GPR image-based UcNet for enhancing underground cavity detectability
MS Kang, N Kim, SB Im, JJ Lee, YK An - Remote Sensing, 2019 - mdpi.com
This paper proposes a 3D ground penetrating radar (GPR) image-based underground cavity
detection network (UcNet) for preventing sinkholes in complex urban roads. UcNet is …
detection network (UcNet) for preventing sinkholes in complex urban roads. UcNet is …
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 …
Review of artificial intelligence applications for virtual sensing of underground utilities
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 …
challenge in the construction industry, for which accidental strikes can cause important …
Robust cascaded frequency filters to recognize rebar in GPR data with complex signal interference
Automatically recognizing rebar by using ground penetrating radar (GPR) is an ongoing
research area that attracts much attention from researchers and practitioners. Existing …
research area that attracts much attention from researchers and practitioners. Existing …
Automatic corrosive environment detection of RC bridge decks from ground-penetrating radar data based on deep learning
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 …
importance for evaluating the reliability and safety of bridge structures. However, accurately …