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Indoor Localization Using Multi-Color Fingerprinting
Till Rexhausen, Chung Shue Chen, Fabio Pianese

Indoor Localization Using Multi-Color Fingerprinting

Science & Mathematics Published 2020 Verification Pending

Overview & Synopsis

VLC based indoor positioning system is a natural choice thanks to LED technology and future trend. We can reuse existing LED lighting installations to design an appropriate scheme to provide indoor localization. By receiving basic information such as the light intensity and knowing the position of the transmitters for example through Visible Light Communication (VLC), one can estimate its position with the potential of high accuracy. In this paper, we use a multi-color sensor and build an indoor localization system based on the light fingerprint, which is suitable for smart cities and homes, health-care centers, hospitals or similar. There are, however, several practical problems that make it a technology that is not yet sufficiently developed to be used in our everyday life. In this paper, a new perspective is given by looking into indoor localization using multi-color fingerprinting and different machine learning methods. Experiment results have shown its effectiveness and potentials with mean localization errors of around ten centimeters.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Indoor Localization Using Multi-Color Fingerprinting
Author / Organization Till Rexhausen, Chung Shue Chen, Fabio Pianese
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2020
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-45482
Original Source Link Visit Source Page on hal.science »