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Agent-based Crowd Simulation Method for a Gaming Environment

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  • Thu, 10/12/2017 - 1:00pm - 3:00pm




Agent-based Crowd Simulation Method for a Gaming Environment

MSc Thesis Defense by:

Songqiao Sun

Date:  Thursday, October 12th 2017
Time:  1:00 pm – 3:00 pm
Location: 3105, Lambton Tower

Abstract: Crowd simulation study has become a favourite subject in the computer graphics community in the past three decades. It usually is a sub-function within many applications such as video games, films, and crisis training like evacuation simulations. This defense introduces an independent crowd simulation model capable of running an Agent-based method within a gaming environment. It can simulate realistic human crowds with user-controllable features to provide a gaming-like experience. Our approach features an enhanced rendering system: Distinguishable Agents Generating Method (DAGM). This method can generate distinguishable and scalable 3D human models in real-time. We also introduce our Multi-layer Collision System (MCS), which is based on a collision-message collection system and an evaluation processing system. We also introduce Building & city-planning Generating System (BcGS) environment for the purpose of setting up obstacles for the crowd during an evacuation simulation.

Thesis Committee:
Internal Reader:  Dr. Dan Wu
External Reader:  Dr. Mohammed Khalid
Advisor:  Dr. Imran Ahmad
Chair:  Dr. Xiaobu Yuan



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