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A whole surface approach to crowd simulation on arbitrary topologies.

Brian C Ricks1, Parris K Egbert1

  • 1Brigham Young University, Provo.

IEEE Transactions on Visualization and Computer Graphics
|December 21, 2013
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This study introduces a new crowd simulation method for whole surfaces, improving path planning and obstacle avoidance on complex 3D shapes like spheres and buildings. The novel approach achieves over 40 FPS for 1,000 agents, outperforming 2.5D plane-based methods.

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Area of Science:

  • Computer Graphics
  • Artificial Intelligence
  • Computational Geometry

Background:

  • Current crowd simulation algorithms often simplify 3D surfaces into 2.5D planes for path planning.
  • This 2.5D approach is effective for structures like multistory buildings but fails on curved surfaces (e.g., spheres, asteroids) and complex agent behaviors (e.g., wall-walking).

Purpose of the Study:

  • To develop novel path planning and obstacle avoidance algorithms for crowd simulation that operate on entire surfaces.
  • To enable realistic crowd simulations on diverse and complex 3D topologies, including curved surfaces and multi-level structures.

Main Methods:

  • Proposed a "whole surface" approach for path planning and obstacle avoidance, moving beyond the limitations of 2.5D plane decomposition.
  • Developed algorithms capable of handling dynamic obstacle avoidance for agents navigating complex 3D environments, including walls and ceilings.

Main Results:

  • The "whole surface" algorithm successfully simulated crowds on both multistory structures and curved topologies without parameter adjustments.
  • Validated on 30 diverse meshes with up to 100,000 triangles and 1,000 agents, achieving an average performance exceeding 40 FPS with minimal stalling.

Conclusions:

  • The proposed "whole surface" method offers a robust and efficient solution for crowd simulation on complex 3D geometry.
  • This approach overcomes the limitations of 2.5D methods, enabling more versatile and realistic crowd simulations across various environments.