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A novel graph-based matching method to merge the extracted maps from mobile robots

机译:一种新颖的基于图的匹配方法,用于合并从移动机器人提取的地图

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摘要

In Recent years Robotic Science has shown a lot of advances and also faced new conditions and challenges. One of the most discussed issues in mobile robots study fields is the mapping discussion or SLAM, in which robots identify environment through range finder and estimate the position Emergence of this issue has also brought up another challenge in terms of map integration. In other words, in case of having two or more robots in a common environment that each one generates its own individual maps, a special method is needed to integrate their generated maps. During recent years various articles were presented upon this challenge, in which the integrated map is generated based on distances obtained from range finder sensors and the similarity of these distances between several maps. In this paper we are intended to generate a graph based on image processing techniques, match them and discuss upon the improvement enhanced by this in compare with other point matching method.
机译:近年来,机器人科学已显示出许多进步,也面临着新的条件和挑战。移动机器人研究领域中讨论最多的问题之一是制图讨论或SLAM,在这种讨论中,机器人通过测距仪识别环境并估计位置。此问题的出现也带来了地图集成方面的另一项挑战。换句话说,如果在一个共同的环境中有两个或更多的机器人,每个机器人都生成自己的地图,则需要一种特殊的方法来集成其生成的地图。近年来,针对这一挑战提出了各种文章,其中基于从测距仪传感器获得的距离以及这些地图之间这些距离的相似性来生成综合地图。在本文中,我们打算基于图像处理技术生成图形,对其进行匹配,并讨论与其他点匹配方法相比,该方法所带来的改进。

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