A Collision Detection Algorithm Using Adaptive Particle Sensor

被引:1
作者
Rungcharoenpaisal, Thiti [1 ]
Kanongchaiyos, Pizzanu [1 ]
机构
[1] Chulalongkorn Univ, Dept Comp Engn, Bangkok, Thailand
来源
2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-4 | 2009年
关键词
collision detection; particle; partitioning; LBG quantization;
D O I
10.1109/ROBIO.2009.4913221
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present an adaptive algorithm for collision detection between rigid and non-rigid polygonal objects by improving particle sensor-based method which is more efficient in handling deformation of objects than bounding volume hierarchies-based method which has to be updated its bounding representations frequently. However, a problem of particle sensor-based is, a number of particles on each object's surface when object is deformed and a reporting of many contact of exact collision on each object, are not well-defined and calculated. Moreover, it can be slow down in a large scene by checking the distances of every object. Therefore, this research presents an algorithm which solves all those problems by using the sweep and prune like algorithm to prune any non-colliding objects in the large scene instead of checking the distances of every object, using an idea of particle's emitter to determine an adaptive number of particle sensor when object is deformed, and using a power in stream computation of graphics processing unit (GPU) to report all contacts of exact collision in particle sensor's responsible area. A detailed description of this algorithm, a time complexity analysis and experiment results showing this algorithm can be conducted in real-time are include in this paper.
引用
收藏
页码:1491 / 1496
页数:6
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