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Anchor‐adaptive railway track detection from unmanned aerial vehicle images
Comput. Aided Civ. Infrastructure Eng., 2023Autonomous railway inspection with unmanned aerial vehicles (UAVs) has huge advantages over traditional inspection methods. As a prerequisite for UAV‐based autonomous following of railway lines, it is quite essential to develop intelligent railway track ...
Lei Tong +5 more
semanticscholar +1 more source
IEEE Internet of Things Journal, 2022
A deep-learning-powered two-stage method for automating the inspection of railway track major components is developed in this article. Rails and two types of fasteners: 1) bolts and 2) clippers, are considered as major targeted objects in this study ...
Zhuang Li +3 more
semanticscholar +1 more source
A deep-learning-powered two-stage method for automating the inspection of railway track major components is developed in this article. Rails and two types of fasteners: 1) bolts and 2) clippers, are considered as major targeted objects in this study ...
Zhuang Li +3 more
semanticscholar +1 more source
Comput. Aided Civ. Infrastructure Eng., 2021
In railway transportation, track geometry irregularity is one of the main factors in controlling train safety. At present, railway practitioners typically use the track geometry car (TGC) based on the inertial navigation system to inspect track ...
Chenzhong Li, Qing He, Ping Wang
semanticscholar +1 more source
In railway transportation, track geometry irregularity is one of the main factors in controlling train safety. At present, railway practitioners typically use the track geometry car (TGC) based on the inertial navigation system to inspect track ...
Chenzhong Li, Qing He, Ping Wang
semanticscholar +1 more source
2021
Abstract Many factors influence the safe and efficient operation of railway tracks throughout the world. The most important tasks for railway track engineers are the design, installation and maintenance of a highly stable track network that will reliably carry goods and passengers with safety and high speed.
S. A. Tan, S. K. Shukla, S. S. Nimbalkar
openaire +1 more source
Abstract Many factors influence the safe and efficient operation of railway tracks throughout the world. The most important tasks for railway track engineers are the design, installation and maintenance of a highly stable track network that will reliably carry goods and passengers with safety and high speed.
S. A. Tan, S. K. Shukla, S. S. Nimbalkar
openaire +1 more source
Railway track longitudinal force model
Vehicle System Dynamics, 2021Most railway track dynamics models focus on vertical and lateral directions. Vehicle dynamics have strong implications for track longitudinal dynamics, but railway track longitudinal force models are rarely published.
Qing Wu, Y. Sun, M. Spiryagin, C. Cole
semanticscholar +1 more source
Computer Vision System for Railway Track Crack Detection using Deep Learning Neural Network
2021 3rd International Conference on Signal Processing and Communication (ICPSC), 2021For better inspections and security, we need an efficient railway track crack detection system. In this research, we present a computer vision-based technique to detect the railway track cracks automatically. This system uses images captured by a rolling
R. Thendral, A. Ranjeeth
semanticscholar +1 more source
Obstacle detection in dangerous railway track areas by a convolutional neural network
Measurement science and technology, 2021The obstacle detection in the dangerous area of railway track is an important research direction in the field of the driverless train. Traditional obstacle detection methods have many issues, such as complicated steps, low detection accuracy, and slow ...
D. He +6 more
semanticscholar +1 more source
MUHAFIZ: IoT-Based Track Recording Vehicle for the Damage Analysis of the Railway Track
IEEE Internet of Things Journal, 2021Fault diagnosis plays a major role in railway condition monitoring, as early diagnosis of the emerging faults can save valuable time, reduce maintenance costs and, most significantly, help save people’s lives.
A. Shah +3 more
semanticscholar +1 more source
UAV-assisted Railway Track Segmentation based on Convolutional Neural Networks
IEEE Vehicular Technology Conference, 2021In the railway sector, track inspections are regularly needed to monitor the track conditions for potential hazards in order to ensure safety and security of life and property. Recently, conducting infrastructure inspections and monitoring using UAVs has
A. Mammeri +2 more
semanticscholar +1 more source
Railway Track Online Detection Based on Optical Fiber Distributed Large-Range Acoustic Sensing
IEEE Internet of Things JournalAn optical fiber distributed acoustic sensing (DAS) system for large infrastructure vibration monitoring is proposed in this work. To meet the requirements of measurement range, spatial resolution, and real-time performance of the monitoring network, the
Lang Xie +5 more
semanticscholar +1 more source