YaQ: An Architecture for Real-Time Navigation and Rendering of Varied Crowds

Maïm, Jonathan; Yersin, Barbara; Pettré, Julien; Thalmann, Daniel

doi:10.1109/mcg.2009.76

Cited by 20 publications

(11 citation statements)

References 10 publications

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“…As stated in [26], variety is an important aspect of crowd simulation. We initialize the game with individual-based unique attributes and update them separately as shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

Realistic modeling of spectator behavior for soccer videogames with CUDA

Yilmaz

Molla

Yıldız

et al. 2011

Computers & Graphics

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a b s t r a c tSoccer has always been one of the most popular videogame genres. When designing a soccer game, designers tend to focus on the game field and game play due to the limited computational resources, and thus the modelling of virtual spectators is paid less attention. In this study we present a novel approach to the modeling of spectator behavior, which treats each spectator as a unique individual. We also propose an independent software layer for sport-based games that simply obtains the game status from the game engine via a simple messaging protocol and computes the spectator behavior accordingly. The result is returned to the game engine, to be used in the animation and rendering of the spectators. Additionally, we offer a customizable spectator knowledge base with well structured XML to minimize coding efforts, while generating individualized behavior. The employed AI is based on fuzzy inference. In order to overcome additional demand for computing realistic spectator behavior, we use GPU parallel computing with CUDA.

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“…As stated in [26], variety is an important aspect of crowd simulation. We initialize the game with individual-based unique attributes and update them separately as shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

Realistic modeling of spectator behavior for soccer videogames with CUDA

Yilmaz

Molla

Yıldız

et al. 2011

Computers & Graphics

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“…Moreover, the model from Ai and colleagues depends on heavy computation, causing the number of properly rendered avatars was too low. The maximum number of rendered avatars was below one thousand, which could not meet the need for a large-scale group's real-time simulation.In crowd simulation and rendering realm, Maim and colleagues developed an application using efficient algorithm and technique based on segmentation maps to generate unique avatars [Maim et al 2009;Maïm et al 2009]. While aiming at real-time simulation on the web, we used parameterization and cloning technology to generate thousands of varied virtual humans navigating in large-scale scenario online.…”

Section: Related Workmentioning

confidence: 99%

Towards Web3D-based Lightweight Crowd Evacuation Simulation

Piao

Xie

et al. 2020

The 25th International Conference on 3D Web Technology

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“…The focus of this paper is local collision avoidance in multiagents systems. However, there are still excellent surveys such as and and comprehensive applications such as and that covers the real‐time crowd simulation research area, and we refer the reader to these papers for more details.…”

Section: Literature Backgroundmentioning

confidence: 99%

“…Recently, many researchers focused on using the GPU power for crowd behavior simulation (in addition to rendering). The reason to that is one can easily simulate a large crowd that a CPU can never achieve in real time . However, GPU‐based crowd simulation techniques utilize almost the full power of the GPU, thus not enough computing resources left for rendering tasks.…”

Section: Literature Backgroundmentioning

confidence: 99%

Hardware‐accelerated dynamic clustering of virtual crowd members

Haciömeroğlu

Ozcan

Barut

et al. 2012

Computer Animation & Virtual

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In this study, a hardware‐accelerated dynamic clustering of moving virtual entities technique is proposed. By clustering virtual entities, both clustered and unclustered virtual agents became more aware of other agents’ topological configurations. Clustering is based on their continuously changing velocity and position vectors. The proposed clustering technique efficiently uses graphics processor's parallel processing capabilities. Therefore, almost no additional central processing unit overhead is required to bring the clustering information into the simulation. In addition, in this paper, how cluster information can be used on top of the proposed virtual human steering technique is explained. The results show that by using the dynamic clustering, the number of collision in the simulation reduces, and the velocities of the the agents in the simulation increase. Copyright © 2012 John Wiley & Sons, Ltd.

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YaQ: An Architecture for Real-Time Navigation and Rendering of Varied Crowds

Cited by 20 publications

References 10 publications

Realistic modeling of spectator behavior for soccer videogames with CUDA

Realistic modeling of spectator behavior for soccer videogames with CUDA

Towards Web3D-based Lightweight Crowd Evacuation Simulation

Hardware‐accelerated dynamic clustering of virtual crowd members

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