Automated maze solving using fluid mechanics based numerical approach

P. Venkata, S. K. Bose, D. Sarode, P. Shete, A. G. Apte, Karimulla Shaik
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引用次数: 2

Abstract

Maze solving has direct applications like Robot path finding, emergency evacuation, and drug discovery. Traditional methods of maze solving treat the problem of maze as a directional graph by connecting the key nodes. Because of the directional graph treatment, which is applied on the simplified form of the original maze, the maze solving algorithms at present cannot be directly applied in the critical domains of emergency evacuation etc. The proposed method uses the original complex maze without simplifying and hence can be directly applied in any critical application related to path finding. Proposed approach solves the mazes in a fully automated mode by combining the techniques of image processing, computational geometry and computational fluid dynamics. Moreover the high amount of human intervention needed for generating graphs from mazes in the traditional algorithms is eliminated altogether.
基于流体力学数值方法的自动迷宫求解
迷宫解决有直接的应用,如机器人寻路、紧急疏散和药物发现。传统的迷宫求解方法通过连接关键节点将迷宫问题视为一个方向图。由于对原迷宫的简化形式进行了定向图处理,目前的迷宫求解算法不能直接应用于紧急疏散等关键领域。该方法利用了原有的复杂迷宫,无需进行简化,可直接应用于任何与寻路相关的关键应用。该方法将图像处理、计算几何和计算流体力学技术相结合,以全自动的方式解决迷宫问题。此外,在传统算法中,从迷宫中生成图形所需的大量人工干预完全消除了。
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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