Parameter estimation and comparative evaluation of crowd simulationsEI
Comput. Graph. Forum, pp. 303-312, 2014.
We present a novel framework to evaluate multi-agent crowd simulation algorithms based on real-world observations of crowd movements. A key aspect of our approach is to enable fair comparisons by automatically estimating the parameters that enable the simulation algorithms to best fit the given data. We formulate parameter estimation as a...More