Flexible Use of Temporal and Spatial Reasoning for Fast and Scalable CPU Broad‐Phase Collision Detection Using KD‐Trees
Author:
Affiliation:
1. Programa de Pós‐Graduação em Informática Aplicada (PPGIA)Universidade de Fortaleza (UNIFOR)Brazil
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
Wiley
Subject
Computer Graphics and Computer-Aided Design
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13529
Reference28 articles.
1. [AGA11]AvrilQ. GourantonV. ArnaldiB.:Dynamic adaptation of broad phase collision detection algorithms. InProceedings of 2011 IEEE International Symposium on VR Innovation(March2011) pp.41–47.
2. [AGA12]AvrilQ. GourantonV. ArnaldiB.:Fast collision culling in large‐scale environments using GPU mapping function. InEurographics Symposium Proceedings(2012) pp.71–80.
3. Dynamic simulation of non-penetrating flexible bodies
4. [Cou08]CoumansE.:btDBVT documentation.bulletphysics.org/mediawiki‐1.5.8/index.php?title=BtDbvt_dynamic_aabb_tree 2008.
5. [Cou17]CoumansE.:Bullet Physics library 2.85.bulletphysics.org 2017.
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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2. A Fast and Generalized Broad-Phase Collision Detection Method Based on KD-Tree Spatial Subdivision and Sweep-and-Prune;IEEE Access;2023
3. Flexible Use of Temporal and Spatial Reasoning for Fast and Scalable CPU Broad‐Phase Collision Detection Using KD‐Trees;Computer Graphics Forum;2018-07-29
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