In collaborative perception, autonomous vehicles with limited perception capabilities can
communicate with each other to achieve a more holographic and effective perception result …

Cooperative perception is the key approach to augment the perception of connected and
automated vehicles (CAVs) toward safe autonomous driving. However, it is challenging to …

Collaborative perception aims for a holistic perceptive construction by leveraging
complementary information from nearby connected automated vehicle (CAV), thereby …

Collaborative perception enhances perception performance by enabling autonomous
vehicles to exchange complementary information. Despite its potential to revolutionize the …

Vehicle-to-infrastructure (V2I) cooperative perception plays a crucial role in autonomous
driving scenarios. Despite its potential to improve perception accuracy and robustness, the …

Multi-agent collaborative perception as a potential application for vehicle-to-everything
communication could significantly improve the perception performance of autonomous …

Modern perception systems of autonomous vehicles are known to be sensitive to occlusions
and lack the capability of long perceiving range. It has been one of the key bottlenecks that …

Autonomous vehicles rely extensively on onboard sensors to perceive their surrounding
environments for motion planning and vehicle control. Despite recent advancements …

Collaborative perception allows for information sharing between multiple agents such as
vehicles and infrastructure to obtain a comprehensive view of the environment through …

The objective of the collaborative vehicle-to-everything perception task is to enhance the
individual vehicle's perception capability through message communication among …