BSwarm: biologically-plausible dynamics model of insect swarms
BSwarm: biologically-plausible dynamics model of insect swarms
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DOI：
10.1145/2786784.2786790
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发表时间：
2015-08
期刊：
影响因子：
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通讯作者：
Xinjie Wang;Jiaping Ren;Xiaogang Jin;Dinesh Manocha
中科院分区：
文献类型：
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作者：
Xinjie Wang;Jiaping Ren;Xiaogang Jin;Dinesh Manocha
我们提出了一个生物学上合理的动力学模型来模拟成群的飞行昆虫。我们的配方，这是基于生物学的结论和实验观察，旨在模拟不同密度的大型昆虫群。我们使用一种混合配方，结合基于力的模型来捕捉昆虫与数据驱动的噪声模型之间的不同相互作用，并计算无碰撞轨迹。我们引入了一个定量指标来评估这种多智能体系统的准确性和固有的噪声模型。我们强调我们的动力学模型的性能，模拟大苍蝇成群的蠓，果蝇，蝗虫和飞蛾。在实践中，我们的方法可以产生许多集体行为，包括聚合，迁移，相变和逃逸反应，我们强调了以前的方法的好处。
We present a biologically plausible dynamics model to simulate swarms of flying insects. Our formulation, which is based on biological conclusions and experimental observations, is designed to simulate large insect swarms of varying densities. We use a hybrid formulation that combines a force-based model to capture different interactions between the insects with a data-driven noise model, and computes collision-free trajectories. We introduce a quantitative metric to evaluate the accuracy of such multi-agent systems and model the inherent noise. We highlight the performance of our dynamics model for simulating large flying swarms of midges, fruit fly, locusts and moths. In practice, our approach can generate many collective behaviors, including aggregation, migration, phase transition, and escape responses, and we highlight the benefits over prior methods.