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Localization algorithm based on Zigbee wireless sensor network with application to an active shopping cart

机译:基于ZigBee无线传感器网络的本地化算法应用于活动购物车

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This paper describes a localization algorithm based on hybrid sensor system with application to an active shopping cart. For a given experimental environment, the probability localization method is applied to confirm the global coordinate of the target customer. And a hybrid sensor system combining the Zigbee and odometry is used to improve the localization performance of the active shopping cart. The shopping cart is equipped with motors for mobility and sensors for tracking person. Through experimental work, we corroborate the feasibility of the proposed localization algorithm.
机译:本文介绍了一种基于混合传感器系统的本地化算法,其应用于活动购物车。 对于给定的实验环境,应用概率定位方法来确认目标客户的全局坐标。 结合ZigBee和Ocometry的混合传感器系统用于改善主动购物车的定位性能。 购物车配有用于移动和传感器的电机,用于跟踪人员。 通过实验工作,我们证实了所提出的定位算法的可行性。

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