NDLI: Flocking-based cooperative autonomous driving using vehicle-to-everything communication

Content Provider	IET Digital Library
Author	Park, Y. Kuk, S. Han, Sang Kook Lim, S. Kim, H. H.
Abstract	Current autonomous driving relies on sensors that can only observe the vehicles in the line of sight (LoS), rendering the driving decisions to hinge on the physical movements of the visible vehicles in proximity. Furthermore, it is practically impossible to sense their intentions. Consequently, driving decisions that account for non-LoS vehicles and the intentions of neighbouring vehicles are hard to achieve. This Letter shows the potential of combining vehicular communication with autonomous driving. In particular, the authors show how vehicular communication can assist autonomous driving decision, with a case of a controller that mimics the flocking behaviours in nature.
Starting Page	535
Ending Page	537
Page Count	3
ISSN	00135194
Volume Number	55
e-ISSN	1350911X
Issue Number	Issue 9, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/55/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.6750
Journal	Electronics Letters
Publisher Date	2019-03-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autonomous Driving Decision Cooperative System Driver Information System Driving Decisions Expert System And Other AI Software And Technique Flocking-based Cooperative Autonomous Driving Line of Sight Mobile Radio System Neighbouring Vehicle Non-LoS Vehicle Physical Movement Traffic Engineering Computing Vehicle-to-everything Communication Vehicular Ad Hoc Network Vehicular Communication
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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