• DocumentCode
    2466235
  • Title

    Hybrid Collision Detection for Interactive Large-Scale Environments

  • Author

    Liang, Xiao ; Gong, Jie ; Tang, Lindun ; Liu, Ying

  • Author_Institution
    Sch. of Comput. Sci., Southwest Pet. Univ., Chengdu, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    1061
  • Lastpage
    1064
  • Abstract
    Real-time collision detection is a challenging problem in large-scale virtual environments. We present a hybrid bounding volume hierarchy (HBVH) based framework aiming to reduce numerous unnecessary overlap tests in collision detection. Temporal coherence is also exploited to accelerate algorithm. Furthermore, we optimize our algorithm through SIMD (single instruction, multiple data) instruction-level parallelism. Our experiment shows that the algorithm works well for the purpose of interactive simulation of massive dynamic scenes, not only for rigid bodies, but also deformable objects.
  • Keywords
    parallel processing; real-time systems; virtual reality; SIMD instruction-level parallelism; hybrid bounding volume hierarchy; hybrid collision detection; interactive large-scale environments; large-scale virtual environments; real-time collision detection; Acceleration; Approximation algorithms; Coherence; Computer science; Educational institutions; Heuristic algorithms; Petroleum; SIMD instructions; hybrid bounding volume hierarchy; interaction; real-time collision detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8814-8
  • Electronic_ISBN
    978-0-7695-4270-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2010.262
  • Filename
    5709443