The quality of railroad wheelsets is an important guarantee for the safe operation of wagons,
and mastering the production information of wheelsets plays a vital role in vehicle …

The wheelset tread has large noise interference and various forms of defects, resulting in the
low detection accuracy and poor localization effect. We proposed a new detection model for …

Railway transportation is of great value to the economy. Railcars usually travel at fast
speeds in complex environments. Accurately detecting and recognizing the railcar numbers …

Railway inspection has always been a critical task to guarantee the safety of the railway
transportation. The development of deep learning technologies brings new breakthroughs in …

Addressing the limitations of current railway track foreign object detection techniques, which
suffer from inadequate real-time performance and diminished accuracy in detecting small …

Railway wheelsets are the key to ensuring the safe operation of trains. To achieve zero-
defect production, railway equipment manufacturers must strictly control every link in the …

In this work, we propose an efficient convolutional neural network (CNN) and a binocular
vision-based target detection and ranging framework for intelligent railway systems to …

Safety inspection is a crucial task for high-speed trains. Conventional methods based on
computer vision are insufficient in achieving this task by using template matching, the main …

Due to the long-term service through wheel-rail rolling contact, the train wheelset tread will
inevitably suffer from different types of defects, such as wear, cracks, and scratches. The …

As an important part of track inspection, the detection of rail fasteners is of great significance
to improve the safety of train operation. Additionally, rail fastener detection belongs to small …