Vision-based monitoring of railway superstructure: A review

P Aela, J Cai, G Jing, HL Chi - Construction and Building Materials, 2024 - Elsevier
The computer vision-based analysis of railway superstructure has gained significant
attention in railway engineering. This approach utilises advanced image processing and …

One-stage and lightweight CNN detection approach with attention: Application to WBC detection of microscopic images

Z Han, H Huang, D Lu, Q Fan, C Ma, X Chen… - Computers in Biology …, 2023 - Elsevier
White blood cell (WBC) detection in microscopic images is indispensable in medical
diagnostics; however, this work, based on manual checking, is time-consuming, labor …

[HTML][HTML] Comparison of deep learning and analytic image processing methods for autonomous inspection of railway bolts and clips

E Aldao, L Fernández-Pardo… - … and Building Materials, 2023 - Elsevier
In this work, different methods are proposed and compared for autonomous inspection of
railway bolts and clips. A prototype of an autonomous data acquisition system was …

[HTML][HTML] High-speed railway track components inspection framework based on YOLOv8 with high-performance model deployment

Y Tang, Y Qian - High-speed Railway, 2024 - Elsevier
Railway inspection poses significant challenges due to the extensive use of various
components in vast railway networks, especially in the case of high-speed railways. These …

Seeking a sufficient data volume for railway infrastructure component detection with computer vision models

A Gosiewska, Z Baran, M Baran, T Rutkowski - Sensors, 2023 - mdpi.com
Railway infrastructure monitoring is crucial for transportation reliability and travelers' safety.
However, it requires plenty of human resources that generate high costs and is limited to the …

FS-RSDD: few-shot rail surface defect detection with prototype learning

Y Min, Z Wang, Y Liu, Z Wang - Sensors, 2023 - mdpi.com
As an important component of the railway system, the surface damage that occurs on the
rails due to daily operations can pose significant safety hazards. This paper proposes a …

A rail fastener defect detection algorithm based on improved YOLOv5

L Wang, Q Zang, K Zhang, L Wu - … Part F: Journal of Rail and …, 2024 - journals.sagepub.com
Being a crucial component of railway tracks, monitoring the health condition of fasteners
stands as a critical aspect within the realm of railroad track management, ensuring the …

Foreign object detection in urban rail transit based on deep differentiation segmentation neural network

F Tan, M Zhai, C Zhai - Heliyon, 2024 - cell.com
With the increasing scale of urban rail transit, foreign object intrusion has become a
significant operational safety hazard in urban rail transit. Although the laser-based automatic …

YOLOv8n-RSDD: A High-Performance Low-Complexity Rail Surface Defect Detection Network

Z Fang, L Li, L Peng, S Zheng, Q Zhong, T Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
Detecting surface defects on railway tracks is of significant importance for reducing the risk
of safety incidents in high-speed railways. In response to the challenges in the field of …

A Multi-Modal Approach to Rail Surface Condition Analysis: The MFDF-Net

Y Shen, Q Zhong, S Zheng, L Li, L Peng - IEEE Access, 2024 - ieeexplore.ieee.org
Surface defects on the track may lead to accidents and pose a serious threat to the safety of
passengers and staff. Regarding current detection methods, there are still shortcomings …