Cooperative perception plays a vital role in extending a vehicle's sensing range beyond its
line-of-sight. However, exchanging raw sensory data under limited communication …

Deep learning has been widely used in intelligent vehicle driving perception systems, such
as 3D object detection. One promising technique is Cooperative Perception, which …

Multi-vehicle cooperative perception has recently emerged for facilitating long-range and
large-scale perception ability of connected automated vehicles (CAVs). Nonetheless …

Connected and autonomous vehicles is a disruptive technology that has the potential to
transform the current transportation system by reducing traffic accidents and enhancing …

Cooperative perception (or cooperative sensing or collective perception) enables connected
and automated vehicles to exchange sensor data in order to improve their perception of the …

Sensor-based perception on vehicles are becoming prevalent and important to enhance
road safety. Autonomous driving systems use cameras, LiDAR and radar to detect …

Cooperative perception has been widely used in autonomous driving to alleviate the
inherent limitation of single automated vehicle perception. To enable cooperation, vehicle-to …

Cooperative perception provides a novel way to conquer the sensing limitation on a single
automated vehicle and potentially improves driving safety. To reduce the transmission data …

Vehicle-to-Anything (V2X) communication is a research topic in automated driving, with
recent activities also focused on cooperative perception (CP). The research field of CP is …

Cooperative perception (aka Collective perception or cooperative sensing) will allow
Connected and Automated Vehicles (CAVs) to share information about detected objects …