• DocumentCode
    2760472
  • Title

    The Research on Collision Detection Algorithm Based on Simulated Annealing in Visual Scene Simulation of Missile Attack

  • Author

    Wang, Ziying ; Song, Ping ; Li, Kejie

  • Author_Institution
    Sch. of Aerosp. Sci. & Eng., Intell. Robot. Inst., Beijing Inst. of Technol., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    25-26 July 2009
  • Firstpage
    502
  • Lastpage
    505
  • Abstract
    In this paper, a new collision detection algorithm based on simulated annealing algorithm which is effective in searching optimal solution is presented. Basic principle of this new collision detection algorithm is as follows: The time variant parameter used for establishing objective function based on kinetic equation of missile and attacked objective is extracted firstly; Secondly, objective function adopted as condition of collision detection is constructed availing of extracted parameter; Finally, the optimal solution of objective function is got based on simulated annealing algorithm, and whether the collision happens is determined by the optimal solution. The simulated result proves this new algorithm is feasible.
  • Keywords
    aerospace computing; digital simulation; military computing; object detection; simulated annealing; collision detection algorithm; kinetic equation; missile attack; objective function; optimal solution search; parameter extraction; simulated annealing; time variant parameter; visual scene simulation; Aerospace simulation; Computational modeling; Computer simulation; Detection algorithms; Equations; Intelligent robots; Kinetic theory; Layout; Missiles; Simulated annealing; collision detection; missile; objective function; simulated annealing; visual scene simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
  • Conference_Location
    Kiev
  • Print_ISBN
    978-0-7695-3688-0
  • Type

    conf

  • DOI
    10.1109/ITCS.2009.238
  • Filename
    5190288