In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …

This review paper provides a comprehensive overview of Unmanned Aerial Vehicles (UAV)
applications in railway infrastructure studies, with a specific focus on railway track …

The efficient detection of the flat jujube in a complex natural environment has great
significance in intelligent agricultural operations. Aiming at the problems of the low detection …

Derailments significantly harm railroads in terms of severity and fatality rates. Manually
monitoring railway tracks is a tedious and often insufficient task to prevent derailment …

Railway intrusion seriously threatens railway safety and can cause enormous loss of life and
property. Therefore, railway intrusion detection is crucial for the safety of railway operation …

In recent years, the use of deep learning methods in railway defect detection has expanded
rapidly due to the technology's ability to improve accuracy and efficiency in fault diagnosis …

Onboard obstacle detection is a vital technology to ensure the safety of smart trains.
Traditional object detection algorithms have poor detection accuracy for small obstacles and …

In recent years, the safety issues of high-speed railways have remained severe. The
intrusion of personnel or obstacles into the perimeter has often occurred in the past, causing …

Obstacle intrusion is a serious threat to the safety of railway traffic. LiDAR point cloud 3D
semantic segmentation (3DSS) provides a new method for unmanned rail-obstacle …

Identifying obstacles on train tracks in real-time can be challenging due to various factors
such as visibility, environmental conditions, and the speed of the train. Accurate and efficient …