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Real-Time Visual Ground-Truth System for Indoor Robotic Applications

机译:用于室内机器人应用的实时可视地面对地系统

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The robotics community is concerned with the ability to infer and compare the results from researchers in areas such as vision perception and multi-robot cooperative behavior. To accomplish that task, this paper proposes a real-time indoor visual ground truth system capable of providing accuracy with at least more magnitude than the precision of the algorithm to be evaluated. A multi-camera architecture is proposed under the FLOS (Robot Operating System) framework to estimate the 3D position of objects and the implementation and results were contex-tualized to the Robocup Middle Size League scenario.
机译:机器人社区关心的是推断和比较研究人员在视觉感知和多机器人合作行为等方面的结果的能力。为了完成该任务,本文提出了一种实时室内可视地面真相系统,该系统能够提供至少比要评估的算法精度更高的精度。在FLOS(机器人操作系统)框架下,提出了一种多摄像机架构,以估计对象的3D位置,并将实现和结果转化为Robocup中型联赛的场景。

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