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 …
YOLO-MSAPF: Multiscale alignment fusion with parallel feature filtering model for high accuracy weld defect detection
This work aims to improve the low accuracy caused by interference information during real-
time weld surface detection. First, a weld surface dataset with 7580 pictures containing eight …
time weld surface detection. First, a weld surface dataset with 7580 pictures containing eight …
Railway automatic switch stationary contacts wear detection under few-shot occasions
Railway Automatic Switch (RAS) plays a crucial role in Turnout Switching System (TSS). The
size of RAS's Stationary Contacts (SCs) directly affects connectivity of the pivotal control and …
size of RAS's Stationary Contacts (SCs) directly affects connectivity of the pivotal control and …
Remote Sensing and Machine Learning for Safer Railways: A Review
Regular railway inspections are crucial for maintaining their safety and efficiency. However,
traditional inspection methods are complex and expensive. Consequently, there has been a …
traditional inspection methods are complex and expensive. Consequently, there has been a …
Sim-YOLOv5s: A method for detecting defects on the end face of lithium battery steel shells
H Hu, Z Zhu - Advanced Engineering Informatics, 2023 - Elsevier
The detection of lithium battery shell defects is an important aspect of lithium battery
production. The presence of pits, R-angle injuries, hard printing, and other defects on the …
production. The presence of pits, R-angle injuries, hard printing, and other defects on the …
RTLSeg: A novel multi-component inspection network for railway track line based on instance segmentation
The condition monitoring of railway track line is one of the fundamental tasks to ensure the
safety of the railway transportation system. Railway track line is mainly made up of tracks …
safety of the railway transportation system. Railway track line is mainly made up of tracks …
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture
Z Ma, Y Li, M Huang, Q Huang, J Cheng… - Journal of Intelligent …, 2023 - Springer
The trade-off between detection speed and accuracy and the high hardware requirements of
computing equipment have always been two major factors restricting the real-time detection …
computing equipment have always been two major factors restricting the real-time detection …
Toward efficient safety helmet detection based on YoloV5 with hierarchical positive sample selection and box density filtering
Object detectors based on convolutional neural networks (CNNs) have been widely
deployed in industrial production for safety detection to guarantee the security of workers …
deployed in industrial production for safety detection to guarantee the security of workers …
Track fastener defect detection model based on improved YOLOv5s
X Li, Q Wang, X Yang, K Wang, H Zhang - Sensors, 2023 - mdpi.com
Defect detection of track fasteners is a prerequisite for safe and reliable railroad operation.
The traditional manual visual inspection method has been unable to meet the growing …
The traditional manual visual inspection method has been unable to meet the growing …
Identification of sleeper support conditions using mechanical model supported data-driven approach
The ballasted track superstructure is characterized by a relative quick deterioration of track
geometry due to ballast settlements and the accumulation of sleeper voids. The track zones …
geometry due to ballast settlements and the accumulation of sleeper voids. The track zones …