基于thinting算法的移动机器人拓扑图构建

Shan Xue, Yong Zhang, Jin Cheng, Qinjun Zhao
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引用次数: 4

摘要

随着科学技术的发展,移动机器人在未知环境下完成任务的应用越来越广泛。建立未知空间的环境地图是移动机器人控制和导航的关键。重点研究了未知环境下拓扑图生成的相关问题。本文的主要研究内容如下:首先介绍了本文的研究背景,指出了目前地图制作中存在的问题。其次,基于识别图像处理中常用的细化算法构建拓扑图;这样可以避免产生不必要的节点和路径。首先在网格地图中对环境进行建模,然后在网格地图中应用细化算法,提取有效的拓扑信息。仿真结果表明,基于细化的拓扑图清晰、简单、有效。此外,这种拓扑映射减少了信息存储内存。这将进一步提高自主操作、导航和路径规划的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topological map building for mobile robots based on thining algorithm
With the development of science and technology, mobile robots have more and more extensive applications to complete the task in unknown environment. Create the environmental map of the unknown space is a key to control and navigation of mobile robots. We focus on the related problems of topological map building in unknown environment. The main studies undertaken in this paper are listed as follows: firstly, the paper introduces the research background and points out the present problems of map building. Secondly, topological map is built based on thinning algorithm which is commonly used in image processing of recognition. This avoids producing un-necessary nodes and paths. The environment is modeled in grid map, next the thinning algorithm is applied in the map, and then the effective topological information is extracted. Finally, simulation results show that the topological map based on thinning is clear, simple and effective. Moreover this topological map reduces information storage memory. This will improve the ability of autonomous operation, navigation and path planning further.
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