BSwarm: Biologically-Plausible Dynamics Model of Insect Swarms

dc.contributor.authorWang, Xinjieen_US
dc.contributor.authorRen, Jiapingen_US
dc.contributor.authorJin, Xiaogangen_US
dc.contributor.authorManocha, Dineshen_US
dc.contributor.editorFlorence Bertails-Descoubes and Stelian Coros and Shinjiro Suedaen_US
dc.date.accessioned2016-01-19T09:01:19Z
dc.date.available2016-01-19T09:01:19Z
dc.date.issued2015en_US
dc.description.abstractWe 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.en_US
dc.description.sectionheadersCrowdsen_US
dc.description.seriesinformationACM/ Eurographics Symposium on Computer Animationen_US
dc.identifier.doi10.1145/2786784.2786790en_US
dc.identifier.isbn978-1-4503-3496-9en_US
dc.identifier.pages111-118en_US
dc.identifier.urihttps://doi.org/10.1145/2786784.2786790en_US
dc.publisherACM Siggraphen_US
dc.subjectinsect swarmen_US
dc.subjectvalidationen_US
dc.subjectcrowd simulationen_US
dc.titleBSwarm: Biologically-Plausible Dynamics Model of Insect Swarmsen_US
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