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

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

Connected and autonomous vehicles (CAVs) are poised to revolutionize the conventional
transportation industry. In this article, we first introduce the vision of vehicle computing in the …

Recent advances in information technology have revolutionized the automotive industry,
paving the way for next-generation smart vehicular mobility. Vehicles, roadside units, and …

Vehicular applications in smart cities, including assisted and autonomous driving, require
complex data processing and low-latency communication. An effective approach to address …

In this paper, we explore a distributed computing architecture that address on-vehicle and off-
vehicle computation as will be needed to support connected and autonomous/automated …

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 …

The development of autonomous driving poses significant demands on computing resource,
which is challenging to resource-constrained vehicles. To alleviate the issue, Vehicular …

This paper presents the computing system design in our commercial autonomous vehicles,
and provides a detailed performance, energy, and cost analyses. Drawing from our …

To simultaneously enable multiple autonomous driving services on affordable embedded
systems, we designed and implemented {\pi}-Edge, a complete edge computing framework …