Título:
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Gradient-based steering for vision-based crowd simulation algorithms
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Autor/a:
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Dutra, T. B.; Marques, Ricardo; Cavalcante‐Neto, J.B.; Vidal, C. A.; Pettré, J.
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Abstract:
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Most 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. |
Abstract:
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T. B. Dutra acknowl1edges CAPES for the fellowship (PDSE Proc.
0130/13-3) and J. Ondˇrej for helping in the implementation of his
model. R. Marques acknowledges the projects Percolation (ANR-
13-JS02-0008), and Kristina (H2020-RIA-645012) for partially financing
this research. |
Materia(s):
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-Three-dimensional graphics and realism -Types of simulation -Animation |
Derechos:
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This is the peer reviewed version of the following article: Dutra TB, Marques R, Cavalcante-Neto JB, Vidal CA, Pettré J. Gradient-based steering for vision-based crowd simulation algorithms. Comput Graph Forum. 2017;36:337-48, which has been published in final form at http://dx.doi.org/10.1111/cgf.13130 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
Tipo de documento:
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Artículo Artículo - Versión aceptada |
Editor:
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Wiley
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Compartir:
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