Vision-based monitoring of railway superstructure: A review
The computer vision-based analysis of railway superstructure has gained significant
attention in railway engineering. This approach utilises advanced image processing and …
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
White blood cell (WBC) detection in microscopic images is indispensable in medical
diagnostics; however, this work, based on manual checking, is time-consuming, labor …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
passengers and staff. Regarding current detection methods, there are still shortcomings …