Automatically-generated Convex Region Decomposition for Real-time Spatial Agent Navigation in Virtual Worlds

D. Hale, G. Youngblood, P. Dixit
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引用次数: 39

Abstract

This paper presents a new method for decomposing environments of complex geometry into a navigation mesh represented by bounding geometry and a connectivity graph for real-time agent usage in virtual worlds. This is accomplished by the generation of a well-defined and high-coverage set of convex navigable regions and the connected gateways between them. The focus of this paper is a new automated algorithm developed for decomposing a 2D representation of world-space into arbitrary sided high-order polygons. The DEACCON (Decomposition of Environments for the Creation of Convex-region Navigation-meshes) algorithm works by seeding a 2D polygonal representation of world-space with a series of quads. Each quad is then provided with the opportunity to grow to its maximum extent before encountering an obstruction. DEACCON implements an automatic subdividing system to convert quads into higher-order polygons while still maintaining the convex property. This allows for the generation of navigation meshes with high degrees of coverage while still allowing the use of large navigation regions, providing for easier agent navigation in virtual worlds. Compared to the Space-filling Volumes and Hertel-Mehlhorn navigation mesh decomposition methods, DEACCON provides more complete coverage, controllable mesh sizes, and better overall algorithmic control to desired decomposition quality with an improvement in agent navigation speed due to better decompositions.
面向虚拟世界实时空间智能体导航的自动生成凸域分解
本文提出了一种将复杂几何环境分解为边界几何表示的导航网格和连接图的新方法,用于虚拟世界中智能体的实时使用。这是通过生成一组定义良好且高覆盖率的凸导航区域以及它们之间的连接网关来实现的。本文的重点是开发了一种新的自动算法,用于将二维世界空间表示分解为任意边的高阶多边形。DEACCON(用于创建凸区域导航网格的环境分解)算法通过用一系列四边形播种世界空间的二维多边形表示来工作。然后,在遇到障碍物之前,每个四边形都有机会生长到最大程度。DEACCON实现了一个自动细分系统,将四边形转换为高阶多边形,同时仍然保持凸性。这允许生成具有高度覆盖的导航网格,同时仍然允许使用大型导航区域,从而在虚拟世界中提供更容易的代理导航。与Space-filling Volumes和Hertel-Mehlhorn导航网格分解方法相比,DEACCON提供了更全面的覆盖,可控制的网格尺寸,更好的整体算法控制所需的分解质量,并且由于更好的分解而提高了代理导航速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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