New trends in collision detection performance

Quentin Avril 1 Valérie Gouranton 1 Bruno Arnaldi 1
1 BUNRAKU - Perception, decision and action of real and virtual humans in virtual environments and impact on real environments
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : Collision detection on industrial digital mock-up is one of the challenging problems for real-time interaction in virtual reality applications. The fast increase of graphics hardware performance, multiplication of cores number and recent improvements on their programmability, bring new directions to the optimisation of collision detection algorithms. Since few years methods appear handling General-Purpose Processing on Graphics Processing Unit (GPGPU) and more recently using multi-cores. We present in this survey an analysis on new trends in collision detection performance and we study the use from GPU to grid for virtual reality applications. We not only deal with algorithmic improvement but we propose a first approach on the new link-up between two fields of computer graphics, namely virtual reality (collision detection) and computers performance.
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Quentin Avril, Valérie Gouranton, Bruno Arnaldi. New trends in collision detection performance. VRIC, Apr 2009, Laval, France. pp.53. ⟨hal-00412870⟩

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