DenseSense: Interactive Crowd Simulation using Density-Dependent Filters

Loading...
Thumbnail Image
Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a novel algorithm to model density-dependent behaviors in crowd simulation. Our approach aims to generate pedestrian trajectories that correspond to the speed/density relationships that are typically expressed using the Fundamental Diagram. The algorithm's formulation can be easily combined with well-known multi-agent simulation techniques that use social forces or reciprocal velocity obstacles for local navigation. Our approach results in better utilization of free space by the pedestrians and has a small computational overhead. We are able to generate human-like dense crowd behaviors in large indoor and outdoor environments; we validate our results by comparing them with captured crowd trajectories.
Description

        
@inproceedings{
:10.2312/sca.20141127
https::/diglib.eg.org/handle/10.2312/sca.20141127.097-102
, booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation
}, editor = {
Vladlen Koltun and Eftychios Sifakis
}, title = {{
DenseSense: Interactive Crowd Simulation using Density-Dependent Filters
}}, author = {
Best, Andrew
and
Narang, Sahil
and
Curtis, Sean
and
Manocha, Dinesh
}, year = {
2014
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-5288
}, ISBN = {
978-3-905674-61-3
}, DOI = {
/10.2312/sca.20141127
https://diglib.eg.org/handle/10.2312/sca.20141127.097-102
} }
Citation