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首页> 外文期刊>IEEE Transactions on Instrumentation and Measurement >Watchers on the Wall: Passive Visible Light-Based Positioning and Tracking With Embedded Light-Sensors on the Wall
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Watchers on the Wall: Passive Visible Light-Based Positioning and Tracking With Embedded Light-Sensors on the Wall

机译:墙上的观察者:被动可见光的基于光的定位和墙壁上的嵌入式光传感器跟踪

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摘要

This article reports a novel visible light positioning (VLP) system and the associated experimental results. The developed VLP system is completely passive as it does not require a tracked object to carry any active device or tag. At the same time, it does not require any modification to the existing lighting infrastructure. The positioning system, termed Watchers on the Wall (WoW), localizes a target based on measuring the change it creates in the received signal strength (RSS) of the ambient light recorded at an array of light-sensors embedded in the wall. A prototype system has been implemented and tested to investigate the performance of the proposed approach with regard to localization and tracking. The experimental results show that the median and 90-percentile localization errors of 7 and 21 cm, respectively, can be achieved for a 2 m m testbed. The effect of various parameters like the height of placement and the number of light-sensors, as well as the size of the fingerprint database, has also been studied. The impact of various distance metrics on the localization performance of the weighted-nearest neighbor (WKNN) classifier has been investigated. It has been found that two distance metrics outperform the commonly employed Euclidean metric. The experimental results also demonstrated that the developed system could track a mobile target along multiple routes with a median error of 12 cm.
机译:本文报告了一种新型可见光定位(VLP)系统和相关的实验结果。开发的VLP系统完全被动,因为它不需要跟踪对象来携带任何活动设备或标签。与此同时,它不需要对现有照明基础设施进行任何修改。定位系统,墙上的观察者(WOW),基于测量在嵌入墙壁中的光传感器阵列的环境光的接收信号强度(RS)中产生的改变来定位目标。已经实施并测试了原型系统,以研究所提出的方法关于本地化和跟踪的性能。实验结果表明,对于2M米试验台,分别可以实现7和21厘米的中值和90%的定位误差。还研究了各种参数的效果,如放置高度和光传感器的数量,以及指纹数据库的大小。研究了各种距离度量对加权 - 最近邻(WKNN)分类器的定位性能的影响。已经发现,两个距离度量胜过常用的欧几里德度量。实验结果还证明,发达的系统可以沿着多个路线跟踪移动目标,其中误差为12厘米。

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