A deep learning approach towards railway safety risk assessment

H Alawad, S Kaewunruen, M An - IEEE Access, 2020 - ieeexplore.ieee.org
Railway stations are essential aspects of railway systems, and they play a vital role in public
daily life. Various types of AI technology have been utilised in many fields to ensure the …

Real-time detection and recognition of railway traffic signals using deep learning

A Staino, A Suwalka, P Mitra, B Basu - Journal of big data analytics in …, 2022 - Springer
Automated detection and recognition of traffic signals are of great significance in railway
systems. Autonomous driving solutions are well established for urban rail transportation …

Blockchain‐enabled secure crowdsensing for trackside infrastructure information collection and validation in railway signalling data preparation

G Muniandi - IET Blockchain, 2021 - Wiley Online Library
Rail operators around the world are adopting advanced control systems for railway
signalling and train protection to improve their safety performance. In these re‐signalling …

Embedded object detection applying Deep Neural Networks in railway domain

M Etxeberria-Garcia, F Ezaguirre… - 2020 23rd Euromicro …, 2020 - ieeexplore.ieee.org
In the last few years, research on deep learning application on the transportation industry
has grown. One of the tasks afforded on those works is the object detection, a essential …

Image enhancement using GANs for monocular visual odometry

JZ Ansorregi, ME Garcia, MZ Akizu… - … of Electronics, Control …, 2021 - ieeexplore.ieee.org
Drones, mobile robots, and autonomous vehicles use Visual Odometry (VO) to move around
complex environments. ORB-SLAM or deep learning-based approaches like DF-VO are two …

Real-time Detection and Recognition of Railway Traffic Signals

Y Wang - 2024 6th International Conference on Electronic …, 2024 - ieeexplore.ieee.org
In the freight railway system, the automatic detection and identification of traffic signals is of
extreme importance. In this paper, we conduct an in-depth study on deep learning detection …

Environment Detection for Railway Applications based on Automotive Technology

JMBM da Silva - 2022 - search.proquest.com
Com o esforço incansável pela procura de automação completa de veículos, a necessidade
da indústria automóvel de alcançar novas soluções trouxe muitas perspectivas novas para …

Research on the application of YOLOv5 in station interlocking test

H Cheng, T He, R Tian - Third International Conference on …, 2023 - spiedigitallibrary.org
With the rapid development of high-speed railway, it is necessary to ensure the safety of
railway running, and the computer interlock system is the key equipment to ensure the safety …

Analysis and Comparison of Automatic Image Focusing Algorithms in Digital Image Processing

H Xiao, E Rosales - International conference on Smart Technologies and …, 2021 - Springer
The selection of image focus discrimination function is the basis for obtaining high-quality
images in automatic image scene measurement. The performance of several digital image …

[PDF][PDF] A Deep Learning Approach Towards Railway Safety Risk Assessment

S KAEWUNRUEN, MIN AN - research.birmingham.ac.uk
Railway stations are essential aspects of railway systems, and they play a vital role in public
daily life. Various types of AI technology have been utilised in many fields to ensure the …