Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach
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Date
2007
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and Blackwell Publishing Ltd
Abstract
This paper addresses the problem of virtual pedestrian autonomous navigation for crowd simulation. It describes a method for solving interactions between pedestrians and avoiding inter-collisions. Our approach is agent-based and predictive: each agent perceives surrounding agents and extrapolates their trajectory in order to react to potential collisions. We aim at obtaining realistic results, thus the proposed model is calibrated from experimental motion capture data. Our method is shown to be valid and solves major drawbacks compared to previous approaches such as oscillations due to a lack of anticipation. We first describe the mathematical representation used in our model, we then detail its implementation, and finally, its calibration and validation from real data.
Description
@article{10.1111:j.1467-8659.2007.01090.x,
journal = {Computer Graphics Forum},
title = {{Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach}},
author = {Paris, Sebastien and Pettre, Julien and Donikian, Stephane},
year = {2007},
publisher = {The Eurographics Association and Blackwell Publishing Ltd},
ISSN = {1467-8659},
DOI = {10.1111/j.1467-8659.2007.01090.x}
}