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Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach
Author(s) -
Paris Sébastien,
Pettré Julien,
Donikian Stéphane
Publication year - 2007
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2007.01090.x
Subject(s) - computer science , crowd simulation , pedestrian , anticipation (artificial intelligence) , trajectory , representation (politics) , motion (physics) , artificial intelligence , crowds , simulation , physics , computer security , astronomy , politics , transport engineering , law , political science , engineering
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.