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 …
L Lin, X Liao, H Jin, P Li - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
We are living in a world where massive end devices perform computing everywhere and everyday. However, these devices are constrained by the battery and computational …
J Zhang, KB Letaief - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent advancements in vehicular communications and networking. Meanwhile, the capability and …
The wave of modernization around us has put the automotive industry on the brink of a paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …
Autonomous vehicles are heavily reliant upon their sensors to perfect the perception of surrounding environments, however, with the current state of technology, the data which a …
Edge computing is an emerging paradigm for the increasing computing and networking demands from end devices to smart things. Edge computing allows the computation to be …
In the last five years, edge computing has attracted tremendous attention from industry and academia due to its promise to reduce latency, save bandwidth, improve availability, and …
In an effort to reach accident-free milestones or drastically reduce/eliminate road fatalities rates and traffic congestion and to create disruptive, transformational mobility systems and …
There are currently no benchmarks that can directly compare the performance of an application across the cloud-only, edge-only and cloud-edge (Fog) deployment platforms to …