• DocumentCode
    1880964
  • Title

    Expansible Architecture for Distributed Combat Visual Simulation System

  • Author

    Zhang, Sen ; Kang, Fengju ; You, Yanjun ; Yao, Linhai ; Han, Hong

  • Author_Institution
    Underwater Inf. & Control Nat. Lab., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In order to avoid the repeated design of Distributed Combat Visual Simulation System Architecture, we propose a Distributed Combat Visual Simulation General Expansible Architecture (VSGEA) after having analyzed and summarized the development needs of general Distributed Combat Visual Simulation System. Through parsing information table dynamically in real time, configuring general information list and mapping memory method, VSGEA can match three-dimensional entity model in the dynamic mode, load multi-granularity model dynamically, edit special effects repeatedly and realize camera AI on path planning. A new Combat visual simulation subsystem is developed based on the general expansible framework. The subsystem is added to Combat Simulation System as a distributed federal member. It is proved that VSGEA is extensible, integrated and flexible and can meet generic development needs of the combat visual simulation system.
  • Keywords
    digital simulation; military computing; software architecture; virtual reality; distributed combat visual simulation system; information table parsing; load multigranularity model; visual simulation general expansible architecture; Atmospheric modeling; Cameras; Computer architecture; Libraries; Load modeling; Solid modeling; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5677203
  • Filename
    5677203