大规模地形上的实时人群运动

Wen Tang, T. Wan, Sanket Patel
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引用次数: 11

摘要

在人工智能中,群体被描述为复杂的自适应系统。实时仿真中人群的生成超出了人工设计的能力。在本文中,我们提出了一个集成的动画框架来模拟大地形上人群的自适应运动行为。基于该框架开发的仿真系统可以作为一个强大的动画和设计工具,在程序上生成逼真的人群运动。该框架集成了有效的地形绘制技术和路径规划算法,使仿真系统能够处理大型地形数据集,并为人群在复杂地形上前进搜索最佳路径。提出了一种局部对齐算法,该算法利用一套传统的行为规则,根据环境情况产生鲁棒的实时人群协调运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time crowd movement on large scale terrains
Crowds are described as complex adaptive systems in artificial intelligence. The generation of crowd in real-time simulations is beyond the manual design capability. In this paper, we present an integrated animation framework for simulating the adaptive movement behaviors of crowds on large terrains. A simulation system that is developed based on the framework can be used as a powerful animation and design tool to produce realistic crowd movements procedurally. The framework integrates efficient terrain rendering techniques and path planning algorithms to enable the simulation system to handle large terrain data sets and search optimal paths for crowds to progress on complex terrains. A local alignment algorithm is developed, which utilizes a set of conventional behavioral rules to produce robust real-time coordinated motions of crowds with respect to environmental situations.
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