Autonomous and robust navigation for simulated humanoid characters in virtual environments

Torsten Fröhlich, D. Kullmann
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引用次数: 5

Abstract

An important task for virtual characters is autonomous navigation in a virtual environment. This involves finding a way through the environment leading to a certain goal, avoiding obstacles such as walls, or surfaces not suitable for walking on. This paper presents an algorithm that analyzes a given scene database in a preprocessing phase in a fully automatic manner. It identifies storeys, rooms and stairs without the need of user guidance. During runtime, path planning works on data generated during the preprocessing phase working in real-time PC hardware.
虚拟环境中仿真类人角色的自主鲁棒导航
虚拟角色的一个重要任务是在虚拟环境中自主导航。这包括在环境中找到一条通往特定目标的道路,避开障碍物,如墙壁或不适合行走的表面。本文提出了一种在预处理阶段对给定场景数据库进行全自动分析的算法。它在不需要用户指导的情况下识别楼层、房间和楼梯。在运行时,路径规划工作在实时PC硬件的预处理阶段产生的数据。
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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