In autonomous driving, cooperative perception makes use of multi-view cameras from both
vehicles and infrastructure, providing a global vantage point with rich semantic context of …

In autonomous driving, Vehicle-Infrastructure Cooperative 3D Object Detection (VIC3D)
makes use of multi-view cameras from both vehicles and traffic infrastructure, providing a …

Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly
enhance autonomous driving perception abilities. However, the uncertain temporal …

Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly
enhance autonomous driving perception abilities. However, temporal asynchrony and …

Vehicle-Infrastructure Cooperative (VIC) 3D object detection is a challenging task for
balancing communication bandwidth and detection performance. Intermediate fusion is …

Autonomous driving faces great safety challenges for a lack of global perspective and the
limitation of long-range perception capabilities. It has been widely agreed that vehicle …

Vehicle–infrastructure cooperative perception is becoming increasingly crucial for
autonomous driving systems and involves leveraging infrastructure's broader spatial …

3D object detection from LiDAR point cloud is a challenging task in autonomous driving
systems. Collaborative perception can incorporate information from spatially diverse sensors …

Accurately detecting objects in 3D point clouds is critical for achieving precise scene
understanding in autonomous driving systems. Cooperative perception, through information …

Abstract 3D object detection plays a crucial role in the perception system of autonomous
vehicles, however, the vehicle's field of view is restricted due to obstructions from nearby …