Paper Info
Title
The Cognitive Internet of Vehicles for Autonomous Driving
Abstract
As it combines AI and IoT, autonomous driving has attracted a great deal of attention from both academia and industry because of its benefits to the economy and society. However, ultra-low delay and ultra-high reliability cannot be guaranteed by individual autonomous vehicles with limited intelligence and the existing architectures of the Internet of Vehicles. In this article, based on a cloud/fog-computing pattern and the IoT AI service framework, we propose a cross-domain solution for auto-driving. In contrast to existing studies, which mainly focus on communication technologies, our solution achieves intelligent and flexible autonomous driving task processing and enhances transportation performance with the help of the Cognitive Internet of Vehicles. We first present an overview of the enabling technology and the architecture of the Cognitive Internet of Vehicles for autonomous driving. Then we discuss the autonomous driving Cognitive Internet of Vehicles specifically from the perspectives of what to compute, where to compute, and how to compute. Simulations are then conducted to prove the effect of the Cognitive Internet of Vehicles for autonomous driving. Our study explores the research value and opportunities of the Cognitive Internet of Vehicles in autonomous driving.
Year
DOI
Venue
2019
10.1109/MNET.2019.1800339
IEEE Network
Keywords
Field
DocType
Autonomous vehicles,Internet,Task analysis,Reliability,Computer architecture,Edge computing
Architecture,Computer science,Internet of Things,Computer network,Human–computer interaction,Cognition,Service framework,Cloud computing,The Internet
Journal
Volume
Issue
ISSN
33
3
0890-8044
Citations 
PageRank 
References 
9
0.47
0
Authors
6
Name
Order
Citations
PageRank
Huimin Lu178073.60
Qiang Liu290.81
Daxin Tian320432.49
Yujie Li425742.93
Hyoungseop Kim529336.05
Seiichi Serikawa654038.54