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A location method based on UWB for ward scene application

机译:基于UWB的Ward场景应用程序的位置方法

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Epidemic prevention robots(EPRs) play an extremely important role in the period of an influenza outbreak. Most of the used scenes of EPR are indoor scenes such as ward and consulting room. The cost of the existing indoor positioning system based on vision is too high, but the positioning accuracy based on wireless technology is not enough, which restricts the development of EPR. In this paper, a positioning system based on UWB is proposed to provide a positioning service for EPR. A particle filter with adaptive particle redistribution is used to fuse the odometer and UWB. The incremental data of the odometer is used to predict the motion of EPR, and UWB data is used as the observation value to realize the pose estimation of EPR. The experimental results in the ward scene show that the method has good tracking performance and the positioning error is 3-7cm, providing robust and precise localization estimation for EPR applications.
机译:疫情预防机器人(EPRS)在流感疫情的时期起着极其重要的作用。 大多数epr的旧场景都是室内场景,如病房和咨询室。 基于视觉的现有室内定位系统的成本太高,但基于无线技术的定位精度还不够,这限制了EPR的发展。 本文提出了一种基于UWB的定位系统,为EPR提供定位服务。 具有自适应粒子再分配的颗粒过滤器用于熔化里程表和UWB。 里程表的增量数据用于预测EPR的运动,并且UWB数据用作实现EPR的姿势估计的观察值。 病变场景的实验结果表明,该方法具有良好的跟踪性能,定位误差为3-7厘米,为EPR应用提供强大和精确的定位估计。

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