In computer vision and mobile robotics, autonomous navigation is crucial. It enables the
robot to navigate its environment, which consists primarily of obstacles and moving objects …

Object detection on railway tracks, which is crucial for train operational safety, face
numerous challenges such as multiple types of objects and the complexity of train running …

This research paper proposes a real-time obstacle avoidance strategy for mobile robots with
a monocular camera. The approach uses a binary semantic segmentation FCN-VGG-16 to …

Excellent active obstacle detection capability is critical to operate fully automatic trains safely
and reliably. There are some problems exist in the traditional sensor-based obstacle …

Automatic obstacle detection is of great significance for improving the safety of train
operation. However, the existing autonomous operation of trains mainly depends on the …

Railway intrusion detection is important for the safety of the railway operation. However, how
to detect intruding events in the scene of unmanned aerial vehicle (UAV) surveillance is a …

Computer vision plays a significant role in mobile robot navigation due to the wealth of
information extracted from digital images. Mobile robots localize and move to the intended …

Video surveillance is gaining increasing popularity to assist in railway intrusion detection in
recent years. However, efficient and accurate intrusion detection remains a challenging …

Rail track segmentation is key to environmental perception of autonomous train. However,
due to the complexity of railway track environment, critical issues such as the detection of rail …

The vehicle-to-vehicle (V2V) distance ranging system is a critical component of
transportation automation, including the railroad industry. Although the mainline rail traffic is …