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 …

Autonomous vehicles are heavily reliant upon their sensors to perfect the perception of
surrounding environments, however, with the current state of technology, the data which a …

The value of roadside perception which could extend the boundaries of autonomous driving
and traffic management has gradually become more prominent and acknowledged in recent …

Cooperative perception significantly enhances the perception performance of connected
autonomous vehicles. Instead of purely relying on local sensors with limited range, it …

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

Cooperative perception allows a Connected Autonomous Vehicle (CAV) to interact with the
other CAVs in the vicinity to enhance perception of surrounding objects to increase safety …

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

Perceiving the environment is one of the most fundamental keys to enabling Cooperative
Driving Automation (CDA), which is regarded as the revolutionary solution to addressing 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 …

3D object detection is a significant aspect of the perception module in autonomous driving;
however, with current technology, data sharing between vehicles and cloud servers for …