With the rapid development of intelligent vehicles and Intelligent Transport Systems (ITS),
the sensors such as cameras and LiDAR installed on intelligent vehicles provides higher …

Today, vehicles use smart sensors to collect data from the road environment. This data is
often processed onboard of the vehicles, using expensive hardware. Such onboard …

With the development of autonomous driving, the surging demand for data communications
as well as computation offloading from connected and automated vehicles can be expected …

Intelligent and connected vehicles rely on edge computing to offload their perception and
planning tasks, so the scheduling of communication and computing resources is critical to …

Connected autonomous vehicles (CAVs), through vehicle-to-everything communication and
computing resources, enable the vital exchange of information. Although deep learning is …

The safety of autonomous driving can be improved with the support of Cooperative Vehicle-
Infrastructure System (CVIS) and Vehicular Edge Computing (VEC), which benefit greatly …

In the traditional vehicular network, computing tasks generated by the vehicles are usually
uploaded to the cloud for processing. However, since task offloading toward the cloud will …

Vehicular edge computing (VEC) is expected as a promising technology to improve the
quality of innovative applications in vehicular networks through computation offloading …

Fully automated vehicles deployed with high computational/perceptive capabilities will soon
become a reality. Such capabilities enable the cooperation among vehicles and the …

Abstract Vehicular Edge Computing (VEC) is a promising paradigm for providing low-latency
and high-reliability services in the Internet of Vehicles (IoV). The increasing number of …