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Robot coordination to create collaborative panoramic images

机译:机器人协调以创建协作全景图像

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In this work, we deal with the problem of coordinating a set of autonomous agents equipped with cameras whose goal is to obtain a panoramic image. To this end, we optimize a multi-objective cost function that accounts for elements such as the number of matched points between the images, the distance between the agents, and the distance to a certain point of interest. Basic solutions for this problem are presented considering two different approaches: centralized and distributed coordination of the agents. For both approaches results are presented and assessed via simulation by using extensive search and heuristic methods.
机译:在这项工作中,我们处理了协调一组配备有旨在获得全景图像的摄像机的自治代理的问题。为此,我们优化了一个多目标成本函数,该函数考虑了元素,例如图像之间的匹配点数,代理之间的距离以及到某个特定兴趣点的距离。针对此问题的基本解决方案考虑了两种不同的方法:代理的集中式和分布式协调。对于这两种方法,通过使用广泛的搜索和启发式方法,通过仿真来呈现和评估结果。

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