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基于单发光二极管、单光电探测器的自适应贝叶斯跟踪方法。

Single LED, Single PD-Based Adaptive Bayesian Tracking Method.

作者信息

Kim Duckyong, Park Jong Kang, Kim Jong Tae

机构信息

Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.

出版信息

Sensors (Basel). 2022 Aug 29;22(17):6488. doi: 10.3390/s22176488.

DOI:10.3390/s22176488
PMID:36080951
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9460254/
Abstract

Recently, with the growing interest in indoor location-based services, visible light positioning (VLP) systems have been extensively studied owing to their advantages of low cost, high energy efficiency, and no electromagnetic interference. However, due to structural limitations which lead to the requirement of multiple signal sources, it has been challenging to apply VLP in real-world scenarios. In this study, we propose a single LED, single PD-based tracking system that solves these problems by applying a new Bayesian method that can effectively reduce the computational burden of particle filters. The method of evaluating particle reliability developed in this work adjusts the number of particles on the fly. Using the absolute position of the single LED source, the long-term cumulative error of the inertial measurement unit can be continuously corrected. In this regard, the applicability of the VLP system can be enhanced in places where the multiple luminescent signals are hard to consistently detect. The proposed system was verified through experiments in a classroom and a corridor, and the results show an average error of less than 11 cm at travel distances of 80 to 100 m.

摘要

近年来,随着人们对室内定位服务的兴趣日益浓厚,可见光定位(VLP)系统因其成本低、能效高和无电磁干扰等优点而受到广泛研究。然而,由于结构限制导致需要多个信号源,在现实场景中应用VLP一直具有挑战性。在本研究中,我们提出了一种基于单个发光二极管(LED)和单个光电探测器(PD)的跟踪系统,该系统通过应用一种新的贝叶斯方法来解决这些问题,该方法可以有效降低粒子滤波器的计算负担。本工作中开发的评估粒子可靠性的方法可以动态调整粒子数量。利用单个LED光源的绝对位置,可以不断校正惯性测量单元的长期累积误差。在这方面,在难以持续检测到多个发光信号的地方,可以提高VLP系统的适用性。通过在教室和走廊进行的实验对所提出的系统进行了验证,结果表明,在80至100米的行进距离上,平均误差小于11厘米。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/c3a66ea9524a/sensors-22-06488-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/34c5790a96d8/sensors-22-06488-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/4dd89869fba4/sensors-22-06488-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/b95382340835/sensors-22-06488-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/fd179c197401/sensors-22-06488-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/2b44ecb0fce3/sensors-22-06488-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/424d2487c796/sensors-22-06488-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/c3a66ea9524a/sensors-22-06488-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/cd07beaf97bc/sensors-22-06488-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/3d4f997e1b0e/sensors-22-06488-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/0f78aaa1e716/sensors-22-06488-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/a009f229fe6e/sensors-22-06488-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/b3a4ca95b1ed/sensors-22-06488-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/34c5790a96d8/sensors-22-06488-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/4dd89869fba4/sensors-22-06488-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/b95382340835/sensors-22-06488-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/fd179c197401/sensors-22-06488-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/2b44ecb0fce3/sensors-22-06488-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/424d2487c796/sensors-22-06488-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd0e/9460254/c3a66ea9524a/sensors-22-06488-g014.jpg

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