Vision-based monitoring of railway superstructure: A review
The computer vision-based analysis of railway superstructure has gained significant
attention in railway engineering. This approach utilises advanced image processing and …
attention in railway engineering. This approach utilises advanced image processing and …
A survey on audio-video based defect detection through deep learning in railway maintenance
Within Artificial Intelligence, Deep Learning (DL) represents a paradigm that has been
showing unprecedented performance in image and audio processing by supporting or even …
showing unprecedented performance in image and audio processing by supporting or even …
Multi-target defect identification for railway track line based on image processing and improved YOLOv3 model
The condition monitoring of railway track line is one of the essential tasks to ensure the
safety of the railway transportation system. Railway track line is mainly composed of tracks …
safety of the railway transportation system. Railway track line is mainly composed of tracks …
A defect detection method for rail surface and fasteners based on deep convolutional neural network
D Zheng, L Li, S Zheng, X Chai, S Zhao… - Computational …, 2021 - Wiley Online Library
As a result of long‐term pressure from train operations and direct exposure to the natural
environment, rails, fasteners, and other components of railway track lines inevitably produce …
environment, rails, fasteners, and other components of railway track lines inevitably produce …
A novel approach to railway track faults detection using acoustic analysis
Regular inspection of railway track health is crucial for maintaining safe and reliable train
operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts …
operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts …
Image quality enhancement using HybridGAN for automated railway track defect recognition
MY Cheng, RR Khasani, K Setiono - Automation in Construction, 2023 - Elsevier
Numerous researchers have explored the potential of artificial intelligence to improve the rail
inspection process, which required high quality in terms of resolution and clarity images …
inspection process, which required high quality in terms of resolution and clarity images …
Railway track fault detection using selective MFCC features from acoustic data
Railway track faults may lead to railway accidents and cause human and financial loss.
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
Structural health monitoring of railway tracks using IoT-based multi-robot system
S Iyer, T Velmurugan, AH Gandomi… - Neural Computing and …, 2021 - Springer
A multi-robot-based fault detection system for railway tracks is proposed to eliminate manual
human visual inspection. A hardware prototype is designed to implement a master–slave …
human visual inspection. A hardware prototype is designed to implement a master–slave …
[HTML][HTML] Detecting metro service disruptions via large-scale vehicle location data
Urban metro systems are often affected by disruptions such as infrastructure malfunctions,
rolling stock breakdowns and accidents. The crucial prerequisite of any disruption analytics …
rolling stock breakdowns and accidents. The crucial prerequisite of any disruption analytics …
A review on deep learning techniques for railway infrastructure monitoring
M Di Summa, ME Griseta, N Mosca, C Patruno… - IEEE …, 2023 - ieeexplore.ieee.org
In the last decade, thanks to a widespread diffusion of powerful computing machines,
artificial intelligence has been attracting the attention of the academic and industrial worlds …
artificial intelligence has been attracting the attention of the academic and industrial worlds …