Print Email Facebook Twitter PassiveVLP: Leveraging Smart Lights for Passive Positioning Title PassiveVLP: Leveraging Smart Lights for Passive Positioning Author Wang, Weizheng (TU Delft Embedded Systems) Wang, Q. (TU Delft Embedded Systems) Zhang, J. (TU Delft Electrical Engineering, Mathematics and Computer Science) Zuniga, Marco (TU Delft Embedded Systems) Faculty Electrical Engineering, Mathematics and Computer Science Date 2020 Abstract Positioning 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 positioning in a passive manner—that is, without requiring objects to carry any optical receiver. To achieve this goal, we propose PassiveVLP, in which 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 passive positioning. Overall, we show that our PassiveVLP can track with high accuracy (a few centimeters) a subset of an object’s trajectory, and it can also identify passively the object’s ID. Subject system designvisible light communication (VLC)Visible light positioning (VLP)evaluationimplementationpassivereflection of light To reference this document use: http://resolver.tudelft.nl/uuid:0092343c-56bd-46d4-82d2-40f4249807af DOI https://doi.org/10.1145/3362123 Embargo date 2021-12-06 ISSN 2691-1914 Source ACM Trans. Internet Things, 1 (1) 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. Part of collection Institutional Repository Document type journal article Rights © 2020 Weizheng Wang, Q. Wang, J. Zhang, Marco Zuniga Files PDF 3362123_1.pdf 5.87 MB Close viewer /islandora/object/uuid:0092343c-56bd-46d4-82d2-40f4249807af/datastream/OBJ/view