Gradient-based Steering for Vision-based Crowd Simulation Algorithms

dc.contributor.authorDutra, Teofilo B.en_US
dc.contributor.authorMarques, Ricardoen_US
dc.contributor.authorCavalcante-Neto, Joaquim Bentoen_US
dc.contributor.authorVidal, Creto A.en_US
dc.contributor.authorPettré, Julienen_US
dc.contributor.editorLoic Barthe and Bedrich Benesen_US
dc.date.accessioned2017-04-22T16:26:51Z
dc.date.available2017-04-22T16:26:51Z
dc.date.issued2017
dc.description.abstractMost recent crowd simulation algorithms equip agents with a synthetic vision component for steering. They offer promising perspectives through a more realistic simulation of the way humans navigate according to their perception of the surrounding environment. In this paper, we propose a new perception/motion loop to steering agents along collision free trajectories that significantly improves the quality of vision-based crowd simulators. In contrast with solutions where agents avoid collisions in a purely reactive (binary) way, we suggest exploring the full range of possible adaptations and retaining the locally optimal one. To this end, we introduce a cost function, based on perceptual variables, which estimates an agent's situation considering both the risks of future collision and a desired destination. We then compute the partial derivatives of that function with respect to all possible motion adaptations. The agent then adapts its motion by following the gradient. This paper has thus two main contributions: the definition of a general purpose control scheme for steering synthetic vision-based agents; and the proposition of cost functions for evaluating the perceived danger of the current situation. We demonstrate improvements in several cases.en_US
dc.description.number2
dc.description.sectionheadersAnimation 2
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13130
dc.identifier.issn1467-8659
dc.identifier.pages337-348
dc.identifier.urihttps://doi.org/10.1111/cgf.13130
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13130
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.7 [Computer Graphics]
dc.subjectThree Dimensional Graphics and Realism
dc.subjectAnimation
dc.subjectI.6.5 [Simulation and Modeling]
dc.subjectTypes of Simulation
dc.subjectAnimation
dc.titleGradient-based Steering for Vision-based Crowd Simulation Algorithmsen_US
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