Real-time path planning for virtual agents in dynamic environments

  • Authors:
  • Avneesh Sud;Erik Andersen;Sean Curtis;Ming Lin;Dinesh Manocha

  • Affiliations:
  • University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill

  • Venue:
  • ACM SIGGRAPH 2008 classes
  • Year:
  • 2008

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Abstract

We present a novel approach for real-time path planning of multiple virtual agents in complex dynamic scenes. We introduce a new data structure, Multi-agent Navigation Graph (MaNG), which is constructed from the first- and second-order Voronoi diagrams. The MaNG is used to perform route planning and proximity computations for each agent in real time. We compute the MaNG using graphics hardware and present culling techniques to accelerate the computation. We also address undersampling issues for accurate computation. Our algorithm is used for real-time multi-agent planning in pursuit-evasion and crowd simulation scenarios consisting of hundreds of moving agents, each with a distinct goal.