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CA-LOD: Collision Avoidance Level of Detail for Scalable, Controllable Crowds

  • Sébastien Paris
  • Anton Gerdelan
  • Carol O’Sullivan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5884)

Abstract

The new wave of computer-driven entertainment technology throws audiences and game players into massive virtual worlds where entire cities are rendered in real time. Computer animated characters run through inner-city streets teeming with pedestrians, all fully rendered with 3D graphics, animations, particle effects and linked to 3D sound effects to produce more realistic and immersive computer-hosted entertainment experiences than ever before. Computing all of this detail at once is enormously computationally expensive, and game designers as a rule, have sacrificed the behavioural realism in favour of better graphics. In this paper we propose a new Collision Avoidance Level of Detail (CA-LOD) algorithm that allows games to support huge crowds in real time with the appearance of more intelligent behaviour. We propose two collision avoidance models used for two different CA-LODs: a fuzzy steering focusing on the performances, and a geometric steering to obtain the best realism. Mixing these approaches allows to obtain thousands of autonomous characters in real time, resulting in a scalable but still controllable crowd.

Keywords

Path Planning Collision Avoidance Obstacle Avoidance Static Obstacle Virtual Human 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sébastien Paris
    • 1
  • Anton Gerdelan
    • 1
  • Carol O’Sullivan
    • 1
  1. 1.GV2Trinity College DublinIreland

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