DocumentCode :
181948
Title :
A multiple stack architecture for intelligent vehicles
Author :
Shou-pon Lin ; Yitian Gu ; Maxemchuk, Nicholas F.
Author_Institution :
Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
fYear :
2014
fDate :
8-11 June 2014
Firstpage :
268
Lastpage :
273
Abstract :
We present a general architecture for intelligent vehicles, especially collaborative driving applications. Intelligent vehicles are similar to communication networks as both types of systems interact with physical world using devices that are rapidly evolving, while intelligent vehicles are more complicated than communication network because they interact with the physical world in not only, one but several ways, and because many of the interactions have severe time constraints. The proposed architecture adopts multiple layered stack structures to address the issues. We also present a collaborative merge protocol as an instantiation of the proposed architecture, and discuss the advantage of the architecture in terms of the feasibility of model checking and conformance testing.
Keywords :
conformance testing; formal verification; protocols; road vehicles; traffic engineering computing; collaborative driving applications; collaborative merge protocol; communication networks; conformance testing; intelligent vehicles; model checking; multiple layered stack structures; multiple stack architecture; time constraints; Collaboration; Computer architecture; Intelligent vehicles; Protocols; Sensors; Synchronization; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium Proceedings, 2014 IEEE
Conference_Location :
Dearborn, MI
Type :
conf
DOI :
10.1109/IVS.2014.6856604
Filename :
6856604
Link To Document :
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