HueSense

Featuring LED Lights Through Hue Sensing

Conference Paper (2023)
Author(s)

Jagdeep Singh (Toshiba Europe Ltd)

Qing Wang (TU Delft - Embedded Systems)

Marco Zúñiga Zuñiga Zamalloa (TU Delft - Networked Systems)

Tim Farnham (Toshiba Europe Ltd)

Research Group
Embedded Systems
DOI related publication
https://doi.org/10.1145/3556558.3558582
More Info
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Publication Year
2023
Language
English
Research Group
Embedded Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
19–24
ISBN (print)
978-1-4503-9522-9
ISBN (electronic)
9781450395229
Reuse Rights

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Abstract

Visible Light Positioning (VLP) has been prevalent in providing high-precision localization systems in the past decade. However, the commercial availability or usage is still limited primarily due to the requirement of changing the existing lighting infrastructure. In this paper, we propose HueSense, an alternative technique to develop a passive VLP system by extracting light-emission intrinsic features, such as dominant colours present in the white LED light. The method can eliminate the need to change lighting-infrastructure, and only uses cheaper and power-efficient off-the-shelf hue sensors. Our experiments demonstrate that HueSense can achieve a location-mapping accuracy of 80.14% with a moving robot in uncontrolled lighting environments.

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