Real-Time Path Planning and Navigation for Multi-agent and Crowd Simulations
Real-Time Path Planning and Navigation for Multi-agent and Crowd Simulations
复制标题
多智能体和人群模拟的实时路径规划和导航
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Dinesh Manocha
中科院分区：
文献类型：
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作者：
M. Lin;Avneesh Sud;J. V. D. Berg;Russell Gayle;Sean Curtis;Hengchin Yeh;S. Guy;Erik Andersen;Sachin Patil;J. Sewall;Dinesh Manocha
我们调查我们最近的一些工作，在动态环境中的多个自主代理的实时路径规划和导航。我们工作的驱动应用是计算机游戏，虚拟环境和基于化身的在线3D社交网络的实时人群模拟。我们还提出了这些方法的扩展，以加速整体模拟和建模更复杂的行为。最后，我们提出了一些初步的结果，从我们的模拟。
We survey some of our recent work on real-time path planning and navigation of multiple autonomous agents in dynamic environments. The driving application of our work are real-time crowd simulation for computer games, virtual environments, and avatar-based online 3D social networks. We also present extensions to these methods for accelerating the overall simulation and for modeling more complex behaviors. Finally, we present some preliminary results from our simulations.