[HTML][HTML] Prediction models for railway track geometry degradation using machine learning methods: a review

Y Liao, L Han, H Wang, H Zhang - Sensors, 2022 - mdpi.com
Kee** railway tracks in good operational condition is one of the most important tasks for
railway owners. As a result, railway companies have to conduct track inspections …

A study on the application of convolutional neural networks for the maintenance of railway tracks

MJ Pappaterra, ML Pappaterra, F Flammini - Discover Artificial Intelligence, 2024 - Springer
This paper provides an overview of the applications of Convolutional Neural Networks
(CNN) in the railway maintenance industry. Our research covers specifically the subdomain …

Railway condition monitoring and fault detection based on YOLOv4

M Yilmazer, M Karakose - 2022 International conference on …, 2022 - ieeexplore.ieee.org
Regular maintenance of the line is critical for safety in railway transportation, which
constitutes an important part of the transportation system. Due to the high error rate of …

Detection of foreign objects around the railway line with yolov8

M Sevi, İ Aydın - Computer Science, 2023 - dergipark.org.tr
This study proposes a deep learning-based method to detect foreign objects around the
railway line. It is important to make this determination with high accuracy for rail transport …

Exploration of Vision-based Railway Turnout Recognition and Application

C Chen, H Qin, Y Bai - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Railway turnouts are crucial components of railroad transportation, responsible for changing
the direction of trains. Turnouts can aid in train positioning systems based on railway …

Towards intelligent, programmable, and open railway networks

E Pencheva, I Atanasov, V Trifonov - Applied Sciences, 2022 - mdpi.com
The virtualization and automation of network functions will be key features of future high-
speed railway networks, which have to provide dependable, safe, and secure services. The …

A skip feature enhanced multi-source fusion framework for switch state detection

S Zhang, R Bai, R He, Z Meng, Y Zhi - International Journal of Rail …, 2024 - Taylor & Francis
Railway switches are vital for ensuring the safety of railroad transportation by managing the
transitions between different tracks. We propose a skip feature enhanced multi-source fusion …

UOLO: A Multitask U-Net YOLO Hybrid Model for Railway Scene Understanding

A Manole, LS Dioșan - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Extracting essential information including the topological structure of rail-tracks, the position
of switches and their current state can increase safety by reducing human error, while also …

[HTML][HTML] RTINet: A Lightweight and High-Performance Railway Turnout Identification Network Based on Semantic Segmentation

D Wei, W Zhang, H Li, Y Jiang, Y **an, J Deng - Entropy, 2024 - pmc.ncbi.nlm.nih.gov
To lighten the workload of train drivers and enhance railway transportation safety, a novel
and intelligent method for railway turnout identification is investigated based on semantic …

[PDF][PDF] A dynamic approach for railway semantic segmentation

AR Alexandrescu, A Manole - Studia Universitatis …, 2022 - pdfs.semanticscholar.org
Railway semantic segmentation is the task of highlighting rail blades in images taken from
the ego-view of the train. Solving this task allows for further image processing on the rails …