Vision language models in autonomous driving: A survey and outlook
The applications of Vision-Language Models (VLMs) in the field of Autonomous Driving (AD)
have attracted widespread attention due to their outstanding performance and the ability to …
have attracted widespread attention due to their outstanding performance and the ability to …
PointCompress3D--A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems
In the context of Intelligent Transportation Systems (ITS), efficient data compression is crucial
for managing large-scale point cloud data acquired by roadside LiDAR sensors. The …
for managing large-scale point cloud data acquired by roadside LiDAR sensors. The …
Dynamic V2X Perception From Road-to-Vehicle Vision
Vehicle-to-everything (V2X) perception is an innovative technology that enhances vehicle
perception accuracy, thereby elevating the security and reliability of autonomous systems …
perception accuracy, thereby elevating the security and reliability of autonomous systems …
GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs
Accurate and effective 3D object detection is critical for ensuring the driving safety of
autonomous vehicles. Recently, state-of-the-art two-stage 3D object detectors have …
autonomous vehicles. Recently, state-of-the-art two-stage 3D object detectors have …