Developments, challenges, and perspectives of railway inspection robots

G **g, X Qin, H Wang, C Deng - Automation in construction, 2022 - Elsevier
Railway inspection robots have been developed and used to gradually replace human
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 …

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 …

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 …

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 …

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 …

A computer vision based rebar detection chain for automatic processing of concrete bridge deck GPR data

P Asadi, M Gindy, M Alvarez, A Asadi - Automation in Construction, 2020 - Elsevier
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 …

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 …

Robust cascaded frequency filters to recognize rebar in GPR data with complex signal interference

Z **ang, G Ou, A Rashidi - Automation in Construction, 2021 - Elsevier
Automatically recognizing rebar by using ground penetrating radar (GPR) is an ongoing
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

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 …