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2008

Real-Time Path Planning in Dynamic Virtual Environments Using Multiagent Navigation Graphs

8 years 7 months ago
Real-Time Path Planning in Dynamic Virtual Environments Using Multiagent Navigation Graphs
We present a novel approach for efficient path planning and navigation of multiple virtual agents in complex dynamic scenes. We introduce a new data structure, Multiagent Navigation Graph (MaNG), which is constructed using first- and second-order Voronoi diagrams. The MaNG is used to perform route planning and proximity computations for each agent in real time. Moreover, we use the path information and proximity relationships for the local dynamics computation of each agent by extending a social force model [15]. We compute the MaNG using graphics hardware and present culling techniques to accelerate the computation. We also address undersampling issues and present techniques to improve the accuracy of our algorithm. Our algorithm is used for real-time multiagent planning in pursuit-evasion, terrain exploration, and crowd simulation scenarios consisting of hundreds of moving agents, each with a distinct goal.
Avneesh Sud, Erik Andersen, Sean Curtis, Ming C. L
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2008
Where TVCG
Authors Avneesh Sud, Erik Andersen, Sean Curtis, Ming C. Lin, Dinesh Manocha
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