Railway Intrusion Detection Based on Machine Vision: A Survey, Challenges, and Perspectives
Z Cao, Y Qin, L Jia, Z Xie, Y Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Railway intrusion seriously threatens railway safety and can cause enormous loss of life and
property. Therefore, railway intrusion detection is crucial for the safety of railway operation …
property. Therefore, railway intrusion detection is crucial for the safety of railway operation …
[HTML][HTML] A survey on multi-sensor fusion perimeter intrusion detection in high-speed railways
T Shi, P Guo, R Wang, Z Ma, W Zhang, W Li, H Fu… - Sensors, 2024 - mdpi.com
In recent years, the safety issues of high-speed railways have remained severe. The
intrusion of personnel or obstacles into the perimeter has often occurred in the past, causing …
intrusion of personnel or obstacles into the perimeter has often occurred in the past, causing …
A deep generative approach for rail foreign object detections via semisupervised learning
The automated inspection and detection of foreign objects help prevent potential accidents
and train derailments. Most existing approaches focus on the detection with prior labels …
and train derailments. Most existing approaches focus on the detection with prior labels …
[HTML][HTML] TrackSafe: A comparative study of data-driven techniques for automated railway track fault detection using image datasets
MG Minguell, R Pandit - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Railway track accidents continue to occur despite manual inspections, which are often
inaccurate and can lead to catastrophic events. While artificial intelligence has been applied …
inaccurate and can lead to catastrophic events. While artificial intelligence has been applied …
Application of deep learning models based on efficientdet and openpose in user-oriented motion rehabilitation robot control
This study addresses the critical challenges in rehabilitation robotics, specifically in
environmental adaptability, precision in action recognition, and personalized patient care …
environmental adaptability, precision in action recognition, and personalized patient care …
Local and global information in obstacle detection on railway tracks
Reliable obstacle detection on railways could help prevent collisions that result in injuries
and potentially damage or derail the train. Unfortunately, generic object detectors do not …
and potentially damage or derail the train. Unfortunately, generic object detectors do not …
MemFormer: A memory based unified model for anomaly detection on metro railway tracks
R Liu, W Liu, M Duan, W Xie, Y Dai, X Liao - Expert Systems with …, 2024 - Elsevier
Anomaly detection on metro railway tracks is crucial to maintain the safety of train
transportation. Unsupervised methods require separate models for various scenarios …
transportation. Unsupervised methods require separate models for various scenarios …
Automatic rail component detection based on AttnConv-Net
The automatic detection of major rail components using railway images is beneficial to
ensure the rail transport safety. In this paper, we propose an attention-powered deep …
ensure the rail transport safety. In this paper, we propose an attention-powered deep …
Intelligent railway foreign object detection: A semi-supervised convolutional autoencoder based method
T Wang, Z Zhang, F Yang, KL Tsui - arXiv preprint arXiv:2108.02421, 2021 - arxiv.org
Automated inspection and detection of foreign objects on railways is important for rail
transportation safety as it helps prevent potential accidents and trains derailment. Most …
transportation safety as it helps prevent potential accidents and trains derailment. Most …
Rail Surface Defect Detection Based on Dual-Path Feature Fusion
Y Zhong, G Chen - Electronics, 2024 - mdpi.com
With the rapid development of rail transit, the workload of track maintenance has increased,
making the intelligent identification of rail surface defects crucial for improving detection …
making the intelligent identification of rail surface defects crucial for improving detection …