Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach

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dc.contributor.authorParis, Sebastienen_US
dc.contributor.authorPettre, Julienen_US
dc.contributor.authorDonikian, Stephaneen_US
dc.date.accessioned2015-02-21T15:43:23Z
dc.date.available2015-02-21T15:43:23Z
dc.date.issued2007en_US
dc.description.abstractThis paper addresses the problem of virtual pedestrian autonomous navigation for crowd simulation. It describes a method for solving interactions between pedestrians and avoiding inter-collisions. Our approach is agent-based and predictive: each agent perceives surrounding agents and extrapolates their trajectory in order to react to potential collisions. We aim at obtaining realistic results, thus the proposed model is calibrated from experimental motion capture data. Our method is shown to be valid and solves major drawbacks compared to previous approaches such as oscillations due to a lack of anticipation. We first describe the mathematical representation used in our model, we then detail its implementation, and finally, its calibration and validation from real data.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume26en_US
dc.identifier.doi10.1111/j.1467-8659.2007.01090.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages665-674en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2007.01090.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titlePedestrian Reactive Navigation for Crowd Simulation: a Predictive Approachen_US
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