Vehicle-to-everything (V2X) autonomous driving opens up a promising dire...
Typically, object detection methods for autonomous driving that rely on
...
Due to the lack of real multi-agent data and time-consuming of labeling,...
Vehicle-to-Vehicle technologies have enabled autonomous vehicles to shar...
Bird's eye view (BEV) perception is becoming increasingly important in t...
Camera-only 3D detection provides an economical solution with a simple
c...
Modern perception systems of autonomous vehicles are known to be sensiti...
Advances in Single-vehicle intelligence of automated driving have encoun...
Bird's-Eye View (BEV) Perception has received increasing attention in re...
Deep learning has been widely used in the perception (e.g., 3D object
de...
Recently, Vehicle-to-Everything(V2X) cooperative perception has attracte...
This paper presents an automated driving system (ADS) data acquisition a...
Most object detection methods for autonomous driving usually assume a
co...
Existing multi-agent perception algorithms usually select to share deep
...
Recent advancements in Vehicle-to-Everything communication technology ha...
Bird's eye view (BEV) semantic segmentation plays a crucial role in spat...
Restoring and inpainting the visual memories that are present, but often...
Existing multi-agent perception systems assume that every agent utilizes...
Renovating the memories in old photos is an intriguing research topic in...
Employing Vehicle-to-Vehicle communication to enhance perception perform...
Although Cooperative Driving Automation (CDA) has attracted considerable...
The majority of current approaches in autonomous driving rely on
High-De...
Intersection scenarios provide the most complex traffic situations in
Au...
It is extremely challenging to acquire perceptually plausible images und...
Recent research has found that navigation systems usually assume that al...
Autonomous driving car is becoming more of a reality, as a key
component...
We present the design, implementation, and evaluation of a multi-sensor
...