A Large-scale Benchmark and an Inclusion-based Algorithm for Continuous Collision Detection
2022年8月1日·
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0 分钟阅读时长
Bolun Wang
Zachary Ferguson
Teseo Schneider
Xin Jiang
Marco Attene
Daniele Panozzo
Image credit:摘要
Continuous collision detection is a critical part in physical simulations. if a CCD algorithm reports too many collisions that don’t exist, or missing collisions, the simulation may fail or be inaccurate.
We introduce a large scale benchmark for CCD: We use the benchmark to evaluate existing algorithms, and to validate a novel CCD algorithm called tight-inclusion, which is fast and conservative.
For more details, please read our paper
…. We have release our code, please check the following link
… where you can find the implementations of our algorithm and all the comparison methods, and the large scale benchmark.
日期
2022年8月1日 1:00 PM
事件
位置
Vancouver, Canada
1055 Canada Place, Vancouver, BC