To simultaneously enable multiple autonomous driving services on affordable embedded
systems, we designed and implemented LoPECS, a Low-Power Edge Computing System …

Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …

Emerging connected and autonomous vehicles involve complex applications requiring not
only optimal computing resource allocations but also efficient computing architectures. In …

In this paper, we explore the feasibility of solar-powered road-side unit (SRSU)-assisted
vehicular edge computing (VEC) system, where SRSU is equipped with small cell base …

Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low
latency demands for computation-intensive vehicular applications. However, most existing …

In Vehicular Edge Computing (VEC) systems, the computing resources of connected Electric
Vehicles (EV) are used to fulfill the low-latency computation requirements of vehicles …

With the proliferation of mobile devices and a wealth of rich application services, the Internet
of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive …

Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of
attention both from researchers and industry. Numerous studies targeting algorithms …

As an enabling technology for the Internet of Vehicles (IoV), mobile edge computing (MEC)
provides potential solutions for sharing the computation capabilities among vehicles, in …

Tailoring cloud support for each autonomous-driving application would require maintaining
multiple infrastructures, potentially resulting in low resource utilization, low performance, and …