A review of applications of visual inspection technology based on image processing in the railway industry

S Liu, Q Wang, Y Luo - Transportation Safety and Environment, 2019 - academic.oup.com
In order to ensure the safety of railway transportation, it is necessary to regularly check for
faults and defects in the railway system. Visual inspection technology is conducive to …

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 …

Predicting the effects of news sentiments on the stock market

D Shah, H Isah, F Zulkernine - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Stock market forecasting is very important in the planning of business activities. Stock price
prediction has attracted many researchers in multiple disciplines including computer …

Collaborative learning attention network based on RGB image and depth image for surface defect inspection of no-service rail

J Wang, K Song, D Zhang, M Niu… - IEEE/ASME Transactions …, 2022 - ieeexplore.ieee.org
Surface defect inspection of no-service rail is important for safety of railway transportation.
However, there are several challenges of irregular defect boundary, similar foreground and …

[HTML][HTML] A systematic literature review of defect detection in railways using machine vision-based inspection methods

A Kumar, SP Harsha - International Journal of Transportation Science and …, 2024 - Elsevier
Train rolling stock and track inspections are necessary for the safe operation of the train. For
this reason, a regular inspection of defects is required for the train rolling stock. The …

DSANet-KD: Dual semantic approximation network via knowledge distillation for rail surface defect detection

W Zhou, J Hong, X Ran, W Yan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Owing to the development of convolutional neural networks (CNNs), the detection of defects
on rail surfaces has significantly improved. Although existing methods achieve good results …

Maximally stable extremal region marking-based railway track surface defect sensing

AK Dubey, ZA Jaffery - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
Railway track monitoring is a challenging task to avoid railway accidents due to track
failures. There are lot many issues involved in the railway accidents but the major …

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 …

钢轨表面缺陷检测的图像预处理改进算法

袁小翠, 吴禄慎, 陈华伟 - 计算机辅助设计与图形学学报, 2014 - jcad.cn
由于线阵相机拍摄的图像光照不均, 对比度低, 使得钢轨表面离散缺陷检测成为机器视觉检测的
难点, 为此提出局部非线性对比度增强法和改进最大熵阈值分割法对钢轨图像进行预处理 …

[HTML][HTML] Eddy current rail inspection using AC bridge techniques

Z Liu, AD Koffman, BC Waltrip… - Journal of research of the …, 2013 - ncbi.nlm.nih.gov
AC bridge techniques commonly used for precision impedance measurements have been
adapted to develop an eddy current sensor for rail defect detection. By using two detection …