Position-Based Multi-Agent Dynamics for Real-Time Crowd Simulation

dc.contributor.authorWeiss, Tomeren_US
dc.contributor.authorLitteneker, Alanen_US
dc.contributor.authorJiang, Chenfanfuen_US
dc.contributor.authorTerzopoulos, Demetrien_US
dc.contributor.editorBernhard Thomaszewski and KangKang Yin and Rahul Narainen_US
dc.date.accessioned2017-12-31T10:43:02Z
dc.date.available2017-12-31T10:43:02Z
dc.date.issued2017
dc.description.abstractExploiting the e ciency and stability of Position-Based Dynamics (PBD), we introduce a novel crowd simulation method that runs at interactive rates for hundreds of thousands of agents. Our method enables the detailed modeling of per-agent behavior in a Lagrangian formulation. We model short-range and long-range collision avoidance constraints to simulate both sparse and dense crowds. The local short-range interaction is represented with collision and frictional contact between agents, as in the discrete simulation of granular materials.We incorporate a cohesion model for modeling collective behaviors and propose a new constraint for dealing with potential future collisions. Our new real-time crowd simulation method is suitable for use in interactive games.en_US
dc.description.sectionheadersPoster Abstracts
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters
dc.identifier.doi10.1145/3099564.3108160
dc.identifier.isbn978-1-4503-5091-4
dc.identifier.pagesTomer Weiss, Alan Litteneker, Chenfanfu Jiang, and Demetri Terzopoulos-Computing methodologies Animation; Real-time simulation; position-based dynamics, crowd simulation, collision avoidance
dc.identifier.urihttps://doi.org/10.1145/3099564.3108160
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1145/3099564-3108160
dc.publisherACMen_US
dc.subjectComputing methodologies Animation
dc.subjectReal
dc.subjecttime simulation
dc.subjectposition
dc.subjectbased dynamics
dc.subjectcrowd simulation
dc.subjectcollision avoidance
dc.titlePosition-Based Multi-Agent Dynamics for Real-Time Crowd Simulationen_US
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