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[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 …
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
This paper provides an overview of the applications of Convolutional Neural Networks
(CNN) in the railway maintenance industry. Our research covers specifically the subdomain …
(CNN) in the railway maintenance industry. Our research covers specifically the subdomain …
Railway condition monitoring and fault detection based on YOLOv4
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 …
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
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 …
railway line. It is important to make this determination with high accuracy for rail transport …
Exploration of Vision-based Railway Turnout Recognition and Application
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 …
the direction of trains. Turnouts can aid in train positioning systems based on railway …
Towards intelligent, programmable, and open railway networks
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 …
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 …
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
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 …
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 …
and intelligent method for railway turnout identification is investigated based on semantic …
[PDF][PDF] A dynamic approach for railway semantic segmentation
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 …
the ego-view of the train. Solving this task allows for further image processing on the rails …