We describe the computing tasks involved in autonomous driving, examine existing
autonomous driving computing platform implementations. To enable autonomous driving …

Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …

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 …

Vehicular Fog Computing (VFC) provides solutions to relieves overload cloudlet nodes,
reduces service latency during peak times, and saves energy for battery-powered cloudlet …

Autonomous driving has received widespread attention in recent years, while the limited
battery life and computing capability of autonomous vehicles cannot support some …

Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …

Vehicular edge computing (VEC) effectively reduces the computing load of vehicles by
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …

As vehicles playing an increasingly important role in people's daily life, requirements on
safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can …

Edge Computing in 5G and Beyond is a promising solution for ultra-low latency applications
(eg, Autonomous Vehicle, Augmented Reality, and Remote Surgery), which have an …

With the emergence of self-driving technology and the ever-increasing demand of
bandwidth-hungry applications, providing the required latency, security and computational …