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A Symbol Identifier Based Recognition and Relative Positioning Approach Suitable for Multi-robot Systems

机译:基于符号标识符的识别和相对定位方法,适用于多机器人系统

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In this paper, a symbol identifier based recognition and relative positioning approach suitable for multi-robot systems is proposed. The symbol identifier is composed of central area and peripheral area, and there exists radial spokes in central area. The recognition approach utilizes some features including luminance feature of center point, luminance difference between center point and its ambient region, the number and distribution of spokes as well as the shape of peripheral area to filter the points in the image. Finally, the resulting pixel points set to characterize the center points of symbol identifiers is generated. On this basis, the positions of these center points relative to the camera are then calculated. The proposed approach is verified by the experiments.
机译:在本文中,提出了一种适用于多机器人系统的基于符号标识符的识别识别和相对定位方法。符号标识符由中心区域和外围区域组成,中央区域存在径向辐条。识别方法利用包括中心点的亮度特征的一些特征,中心点与其环境区域之间的亮度差,辐条的数量和分布以及周边区域的形状过滤图像中的点。最后,生成所产生的像素点以表征符号标识符的中心点。在此基础上,然后计算这些中心点相对于相机的位置。通过实验验证了所提出的方法。

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