• 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