Abstract 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning. However, the latter faces various issues, including the lack of data or …

Roadside sensing units'(RSUs) perception capability may be substantially impaired by
occlusion issue even they work cooperatively. However, the joint influence of static and …

Most existing road infrastructures were constructed before the emergence of automated
vehicles (AVs) without considering their operational needs. Whether and how AVs could …

The perception system based on roadside LiDAR is an important component for
autonomous driving. However, previous studies optimizing the deployment configuration of …

Unmanned aerial vehicle (UAV) was utilized to determine fill height of earthwork
construction project along a local road kilometer 16+ 675 to kilometer 17+ 275 in …

This study utilized an Unmanned Aerial Vehicle (UAV) to estimate earthwork volumes in a
road construction project spanning from kilometer 6+ 675 to kilometer 17+ 275 within the …

Despite recent advances in automotive research, a fully autonomous system operating in
open, unconstrained road environments has not yet been realized. Recently, several types …

This paper presents a comprehensive modeling technique for optimization of solid-state
LiDAR sensor deployment. In particular, a performance measure is developed with physical …

As an important part of the perception level of autonomous driving, point cloud data of
automotive LiDAR is the key to performance testing. Due to the fact that the angle of …