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 …

[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 …

A deep generative approach for rail foreign object detections via semisupervised learning

T Wang, Z Zhang, KL Tsui - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
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 …

[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 …

Application of deep learning models based on efficientdet and openpose in user-oriented motion rehabilitation robot control

M Sui, L Jiang, T Lyu, H Wang, L Zhou… - Journal of Intelligence …, 2024 - itip-submit.com
This study addresses the critical challenges in rehabilitation robotics, specifically in
environmental adaptability, precision in action recognition, and personalized patient care …

Local and global information in obstacle detection on railway tracks

M Brucker, A Cramariuc, C Von Einem… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
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 …

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 …

Automatic rail component detection based on AttnConv-Net

T Wang, Z Zhang, F Yang, KL Tsui - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
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 …

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 …

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 …