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http://dx.doi.org/10.9717/kmms.2020.24.5.629

3D Affordance Field based Crowd Agent Behavior Simulation  

Ok, Sooyol (Dept. of Computer Engineering, Dong-A Universi)
Han, MyungWoo (Dept. of Game Engineering, Tongmyong University)
Lee, Suk-Hwan (Dept. of Computer Engineering, Dong-A University)
Publication Information
Abstract
Crowd behavior simulations have been studied to further accelerated and refined by parallelism by inducing agent-interacting forces into the image field representing the forces of attraction and repulsion. However, it was difficult to consider rapidly changing environments such as fire situations in buildings because texture images must be generated in advance simulation starts and simulations can only be performed in 2D spaces. In this paper, we propose a crowd agent behavior simulation method based on agent's 3D affordance field for flexible agent behavior in variable geomorphological environments in 3D space. The proposed method generates 3D affordance field related to agents and sensors in 3D space and defines the agent behavior in 3D space for the crowd behavior simulation based on an image-inducing field to a 3D space. Experimental results verified that our method enables the development of large-scale crowd behavior simulations that are flexible to various fire evacuation situations in 3D virtual spaces.
Keywords
3D Affordance Field; Agent Behavior Simulation; Crowd Behavior Simulation;
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Times Cited By KSCI : 1  (Citation Analysis)
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