Autonomous vehicles (AVs) rely on advanced sensory systems, such as Light Detection and
Ranging (LiDAR), to function seamlessly in intricate and dynamic environments. LiDAR …

The stable detection and tracking of high-speed vehicles on the road by using LiDAR can
input accurate information for the decision-making module and improve the driving safety of …

To prevent the problem of safety accidents caused by the intrusion of obstacles into railway
clearance, this paper proposes an obstacle detection method based on Light Detection and …

Autonomous robots operate on batteries, rendering power efficiency essential. The
substantial computational demands of object detection present a significant burden to the …

Railway perimeter intrusion detection is of great significance for ensuring railway safety
operations. In this paper, a Light Detection and Ranging (LiDAR) system is designed and …

LiDAR point clouds are significantly impacted by snow in driving scenarios, introducing
scattered noise points and phantom objects, thereby compromising the perception …

Pixel-level depth information is crucial to many applications, such as autonomous driving,
robotics navigation, 3D scene reconstruction, and augmented reality. However, depth …

The perception systems of autonomous vehicles face significant challenges under adverse
conditions, with issues such as obscured objects and false detections due to environmental …

Detecting obstacles in the rail track area is crucial for ensuring the safe operation of trains.
However, this task presents numerous challenges, including the diverse nature of intrusions …

Autonomous vehicles (AVs) are expected to eventually replace traditional vehicles that
require human drivers. In recent years, several AV manufacturers have begun on-road …