Review of laser scanning technologies and their applications for road and railway infrastructure monitoring
M Soilán, A Sánchez-Rodríguez, P del Río-Barral… - Infrastructures, 2019 - mdpi.com
Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …
Speed limit sign detection and recognition system using SVM and MNIST datasets
Y Saadna, A Behloul, S Mezzoudj - Neural Computing and Applications, 2019 - Springer
This article presents a computer vision system for real-time detection and robust recognition
of speed limit signs, specially designed for intelligent vehicles. First, a new segmentation …
of speed limit signs, specially designed for intelligent vehicles. First, a new segmentation …
Speed limit traffic sign detection and recognition based on support vector machines
Speed limit traffic sign recognition plays a key role in intelligent transport system (ITS),
especially in driver assistant system (DAS) and intelligent autonomous vehicles (IAV) …
especially in driver assistant system (DAS) and intelligent autonomous vehicles (IAV) …
Deep learning for detection of railway signs and signals
G Karagiannis, S Olsen, K Pedersen - Advances in Computer Vision …, 2020 - Springer
Major railway lines need advance management systems based on accurate maps of their
infrastructure. Asset detection is an important tool towards automation of processes and …
infrastructure. Asset detection is an important tool towards automation of processes and …
A real-time speed limit sign recognition system for autonomous vehicle using SSD algorithm
NNA Mangshor, NS Saharuddin… - 2021 11th IEEE …, 2021 - ieeexplore.ieee.org
In today's technology-driven world, there are a lot of devices and products have been
invented including the Autonomous Vehicle (AV). Autonomous vehicle is a driverless vehicle …
invented including the Autonomous Vehicle (AV). Autonomous vehicle is a driverless vehicle …
基于OpenCV 的计算机联锁上位机界面图像分析法
王文杰, 杨扬, 王玥 - 铁路计算机应用, 2021 - tljsjyy.xml-journal.net
为了提高界面操作的效率, 改善自动化办理的程度, 结合上位机界面的显示规范, 提出了一种基于
OpenCV 的计算机联锁上位机界面图像分析法. 所提方法通过对上位机各类信号设备的几何特征 …
OpenCV 的计算机联锁上位机界面图像分析法. 所提方法通过对上位机各类信号设备的几何特征 …
Railway Accident Reduction By Passenger Detection Using Machine Learning Techniques
Railway is the national transporter for many countries with massive rail route networks. The
operations and maintenance of such a huge network that is spread over a vast geographical …
operations and maintenance of such a huge network that is spread over a vast geographical …
A Recommender Subsystem Construction for Calculating the Probability of a Violation by a Locomotive Driver using Machine-learning Algorithms
V Sidorenko, M Kulagin - 2020 IEEE East-West Design & Test …, 2020 - ieeexplore.ieee.org
This article describes the issues of analysis and assessment of the human factor for
predicting the violation committed by the locomotive driver when driving the electric rolling …
predicting the violation committed by the locomotive driver when driving the electric rolling …
[PDF][PDF] New Speed Limit Recognition System: Software and Hardware Validation.
Recent advancements in intelligent driving have led to the integration of various automated
systems into vehicles, including Speed Limit Recognition systems, which play a crucial role …
systems into vehicles, including Speed Limit Recognition systems, which play a crucial role …
The Interface Information Reading of Railway Computer Interlocking Station Data Based on Image Analysis
B Zhang, Q Li - Proceedings of the 2024 International Conference on …, 2024 - dl.acm.org
In response to the immense workload and error-prone nature of manually confirming the
correct names of devices on the graphical user interface (GUI) of railway station layouts in …
correct names of devices on the graphical user interface (GUI) of railway station layouts in …