13925

GPU Accelerated Real-Time Collision Handling in Virtual Disassembly

Peng Du, Jie-Yi Zhao, Wan-Bin Pan, Yi-Gang Wang
School of Media & Design, Hangzhou Dianzi University, Hangzhou 310018, China
Journal of Computer Science and Technology, Vol. 30, Issue (3), 511-518, 2015

@article{du2015gpu,

   title={GPU Accelerated Real-Time Collision Handling in Virtual Disassembly},

   author={Du, P and Zhao, JY and Pan, WB and others},

   journal={J. Comput. Sci. & Technol},

   volume={30},

   number={3},

   year={2015}

}

Download Download (PDF)   View View   Source Source   

1610

views

Previous collision detection methods for virtual disassembly mainly detect collisions at discrete time interval, and use oriented bounding boxes to speedup the process. However, these discrete methods cannot guarantee no penetration occurs when the components moving. Meanwhile, because some of the components are embedded into each other, these components cannot be separated in the subsequent process. To solve these problems, we propose an approach for real-time collision detection by utilizing the computational power of modern GPUs. First we present a novel GPU-based collision handling framework for virtual disassembly. Next we use a collision-streams based continuous collision detection to guarantee no collision missed. Finally we introduce a triangle intersection detection algorithm to solve the problem that collision cannot be detected when the components are embedded into each other at the initial configuration. The experiment results show that our method can improve the overall performance of collision detection, and achieve real-time simulation.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Contact us: