• DocumentCode
    2998341
  • Title

    An improved method of continuous collision detection using ellipsoids

  • Author

    He Bing ; Wang Yangzihao ; Zhao Jia

  • Author_Institution
    State Key Lab. of Virtual Reality Technol. & Syst., BeiHang Univ., Beijing, China
  • fYear
    2009
  • fDate
    26-29 Nov. 2009
  • Firstpage
    2280
  • Lastpage
    2286
  • Abstract
    Continuous collision detection for virtual scene simulation is an important research field. In order to avoid penetration during the collision detection process and to ensure the completion of the collision response, the paper optimized the algorithm steps based on the traditional ellipsoid scanning method, and for the region based task allocation model of the physics engine, it gave a mechanism for the rapid index based on marked sub-regional. In addition, forecasting mechanism used during the process of collision detection effectively reduced the sum of collision detection operations within one simulation cycle. Experiments show that the algorithm optimization we proposed has significantly improved the efficiency of the collision detection, and the space division mechanism can be applied to parallel collision detection of large-scale and large-quantity objects in complex virtual scene applications.
  • Keywords
    collision avoidance; computational geometry; virtual reality; collision response; continuous parallel collision detection; ellipsoid scanning method; forecasting mechanism; physics engine; space division mechanism; task allocation model; virtual scene simulation; Ellipsoids; Hardware; Interpolation; Large-scale systems; Layout; Motion detection; Object detection; Optimization methods; Predictive models; Space technology; Collision Detection; Collision Prediction; Ellipsoids; Space Subdivision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5266-8
  • Electronic_ISBN
    978-1-4244-5268-2
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2009.5375143
  • Filename
    5375143