2022
DOI: 10.1111/cgf.14469
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Dynamic Combination of Crowd Steering Policies Based on Context

Abstract: Simulating crowds requires controlling a very large number of trajectories of characters and is usually performed using crowd steering algorithms. The question of choosing the right algorithm with the right parameter values is of crucial importance given the large impact on the quality of results. In this paper, we study the performance of a number of steering policies (i.e., simulation algorithm and its parameters) in a variety of contexts, resorting to an existing quality function able to automatically evalu… Show more

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