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Multi-robot cooperative spherical-object tracking in 3D space based on particle filters

机译:基于粒子滤波的3D空间多机器人协同球形物体跟踪

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摘要

This article presents a cooperative approach for tracking a moving spherical object in 3D space by a team of mobile robots equipped with sensors, in a highly dynamic environment. The tracker's core is a particle filter, modified to handle, within a single unified framework, the problem of complete or partial occlusion for some of the involved mobile sensors, as well as inconsistent estimates in the global frame among sensors, due to observation errors and/or self-localization uncertainty. We present results supporting our approach by applying it to a team of real soccer robots tracking a soccer ball, including comparison with ground truth.
机译:本文提出了一种协作方法,该方法可在高度动态的环境中由配备传感器的移动机器人团队在3D空间中跟踪运动的球形对象。跟踪器的核心是一个粒子过滤器,经过修改后可以在一个统一的框架内处理某些涉及的移动传感器的完全或部分遮挡问题,以及由于观测误差和误差导致的传感器整体框架中的估计不一致。 /或自我定位不确定性。通过将其应用到跟踪足球的真实足球机器人团队中,我们提供了支持我们方法的结果,包括与地面实况进行比较。

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