Roadside perception is a fundamental task for vehicle-to-road cooperative perception and
traffic scheduling. However, most existing roadside perception strategies prefer to deploy …

Cooperative perception in the field of connected autonomous vehicles (CAVs) aims to
overcome the inherent limitations of single-vehicle perception systems, including long-range …

Fueled by substantial advancements in deep learning, the domain of autonomous driving is
swiftly advancing towards more robust and effective intelligent systems. One of the critical …

Cooperative perception offers several benefits for enhancing the capabilities of autonomous
vehicles and improving road safety. Using roadside sensors in addition to onboard sensors …

Cooperative perception for connected and automated vehicles is traditionally achieved
through the fusion of feature maps from two or more vehicles. However, the absence of …

3D object detection plays a fundamental role in enabling driving automation, which is
regarded as a significant leap forward for contemporary transportation systems from the …

Sharing collective perception messages (CPM) between vehicles is investigated to
decrease occlusions so as to improve the perception accuracy and safety of autonomous …

3D object detection is a common function within the perception system of an autonomous
vehicle and outputs a list of 3D bounding boxes around objects of interest. Various 3D object …

Having an accurate and comprehensive understanding of surrounding environment is the
first step toward autonomous driving. For an autonomous car to plan its actions, for example …

Object perception plays a fundamental role in Cooperative Driving Automation (CDA) which
is regarded as a revolutionary promoter for next-generation transportation systems …