Leveraging smart lights for passive localization

Weizheng Wang; Junwei Zhang; Qing Wang; Marco Zuniga

doi:10.1109/MASS.2018.00049

Leveraging smart lights for passive localization

Weizheng Wang, Junwei Zhang, Qing Wang, Marco Zuniga

Embedded Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

34 Downloads (Pure)

Abstract

Localization based on visible light is gaining significant attention. But most existing studies rely on a key requirement: the object of interest needs to carry an optical receiver (camera or photodiode). We remove this requirement and investigate the possibility of achieving accurate localization in a passive manner, that is, without requiring objects to carry any optical receiver. To achieve this goal, we exploit the reflective surfaces of objects and the unique propagation properties of LED luminaires. We present geometric models, a testbed implementation, and empirical evaluations to showcase the opportunities and challenges posed by this new type of localization. Overall, we show that our method can track with high accuracy (few centimeters) a subset of an object’s trajectory and it can also identify passively the object’s ID.

Original language	English
Title of host publication	2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)
Editors	Lisa O'Conner
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	272-280
Number of pages	9
ISBN (Electronic)	978-153865580-1
ISBN (Print)	978-1-5386-5581-8
DOIs	https://doi.org/10.1109/MASS.2018.00049
Publication status	Published - 2018
Event	MASS 2018: 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems - Chengdu, China Duration: 9 Oct 2018 → 12 Oct 2018 Conference number: 15th

Conference

Conference	MASS 2018
Country/Territory	China
City	Chengdu
Period	9/10/18 → 12/10/18

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.

Keywords

Light emitting diodes
Object recognition
Guidelines
Photodiodes
Mirrors
Optical receivers

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10.1109/MASS.2018.00049

08567571Final published version, 1.08 MB

Cite this

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title = "Leveraging smart lights for passive localization",

abstract = "Localization based on visible light is gaining significant attention. But most existing studies rely on a key requirement: the object of interest needs to carry an optical receiver (camera or photodiode). We remove this requirement and investigate the possibility of achieving accurate localization in a passive manner, that is, without requiring objects to carry any optical receiver. To achieve this goal, we exploit the reflective surfaces of objects and the unique propagation properties of LED luminaires. We present geometric models, a testbed implementation, and empirical evaluations to showcase the opportunities and challenges posed by this new type of localization. Overall, we show that our method can track with high accuracy (few centimeters) a subset of an object{\textquoteright}s trajectory and it can also identify passively the object{\textquoteright}s ID.",

keywords = "Light emitting diodes, Object recognition, Guidelines, Photodiodes, Mirrors, Optical receivers",

author = "Weizheng Wang and Junwei Zhang and Qing Wang and Marco Zuniga",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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. ; MASS 2018 : 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems ; Conference date: 09-10-2018 Through 12-10-2018",

year = "2018",

doi = "10.1109/MASS.2018.00049",

language = "English",

isbn = "978-1-5386-5581-8 ",

pages = "272--280",

editor = "Lisa O'Conner",

booktitle = "2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)",

publisher = "IEEE",

address = "United States",

}

Leveraging smart lights for passive localization. / Wang, Weizheng; Zhang, Junwei; Wang, Qing et al.
2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) . ed. / Lisa O'Conner. Piscataway, NJ: IEEE, 2018. p. 272-280 08567571.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Wang, Weizheng

AU - Zhang, Junwei

AU - Wang, Qing

AU - Zuniga, Marco

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N2 - Localization based on visible light is gaining significant attention. But most existing studies rely on a key requirement: the object of interest needs to carry an optical receiver (camera or photodiode). We remove this requirement and investigate the possibility of achieving accurate localization in a passive manner, that is, without requiring objects to carry any optical receiver. To achieve this goal, we exploit the reflective surfaces of objects and the unique propagation properties of LED luminaires. We present geometric models, a testbed implementation, and empirical evaluations to showcase the opportunities and challenges posed by this new type of localization. Overall, we show that our method can track with high accuracy (few centimeters) a subset of an object’s trajectory and it can also identify passively the object’s ID.

AB - Localization based on visible light is gaining significant attention. But most existing studies rely on a key requirement: the object of interest needs to carry an optical receiver (camera or photodiode). We remove this requirement and investigate the possibility of achieving accurate localization in a passive manner, that is, without requiring objects to carry any optical receiver. To achieve this goal, we exploit the reflective surfaces of objects and the unique propagation properties of LED luminaires. We present geometric models, a testbed implementation, and empirical evaluations to showcase the opportunities and challenges posed by this new type of localization. Overall, we show that our method can track with high accuracy (few centimeters) a subset of an object’s trajectory and it can also identify passively the object’s ID.

KW - Light emitting diodes

KW - Object recognition

KW - Guidelines

KW - Photodiodes

KW - Mirrors

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ER -

Leveraging smart lights for passive localization

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this