Holonomic Collision Avoidance for Virtual Crowds

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dc.contributor.authorHughes, Rowanen_US
dc.contributor.authorOndrej, Janen_US
dc.contributor.authorDingliana, Johnen_US
dc.contributor.editorVladlen Koltun and Eftychios Sifakisen_US
dc.date.accessioned2014-12-16T07:33:50Z
dc.date.available2014-12-16T07:33:50Z
dc.date.issued2014en_US
dc.description.abstractAll approaches to simulating human collision avoidance for virtual crowds make simplifications to the underlying behaviour. One of the prevalent simplifications is to ignore it's holonomic aspect (i.e. sidestepping, walking backwards). This does not, however, capture the full range of how humans avoid collisions. In real world scenarios we can often observe people sidestepping around each other and obstacles in their environment. In this paper we present a new holonomic collision avoidance algorithm for real-time crowd simulation. Our model is elaborated from experimental data, which allowed us to both observe the conditions under which holonomic interactions occur, as well as the strategies walkers use during such interactions to avoid collision. Our model is general enough to be used with other collision avoidance techniques. We validate our approach by reproducing situations from our experiments and we demonstrate several examples in which our method provides more plausible collision avoidance behaviour.en_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animationen_US
dc.identifier.isbn978-3-905674-61-3en_US
dc.identifier.issn1727-5288en_US
dc.identifier.urihttps://doi.org/10.2312/sca.20141128en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/sca.20141128.103-111
dc.publisherThe Eurographics Associationen_US
dc.subjectI.2.11 [Artificial Intelligence]en_US
dc.subjectDistributed Artificial Intelligenceen_US
dc.subjectMultien_US
dc.subjectAgent Systemsen_US
dc.titleHolonomic Collision Avoidance for Virtual Crowdsen_US
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SCA 14: Eurographics/SIGGRAPH Symposium on Computer Animation