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http://dx.doi.org/10.9717/kmms.2014.17.9.1104

Large-Scale Realtime Crowd Simulation Using Image-Based Affordance and Navigation Potential Fields  

Ok, Soo-Yol (Dept. of Game Eng., School of Digital Entertainment, TongMyong University)
Publication Information
Abstract
In large-scale crowd simulations, it is very important for the decision-making system of manipulating interactive behaviors to minimize the computational cost for controlling realistic behaviors such as collision avoidance. In this paper, we propose a large-scale realtime crowd simulation method using the affordance and navigation potential fields such as attractive and repulsive forces of electromagnetic fields. In particular, the model that we propose locally handles the realistic interactions between agents, and thus radically reduces the cost of expensive computation on interactions which has been the most problematic in crowd simulation. Our method is widely applicable to the expression and analysis of various crowd behaviors that are needed in behavior control in computer games, crowd scenes in movies, emergent behaviors of evacuation, etc.
Keywords
Massive Crowd Simulation; Affordance Potential Field; Navigation Potential Field; Real Time Collision Avoidance;
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