Affiliation:
1. TU Delft, Delft, the Netherlands
2. KU Leuven, Leuven, Belgium
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.
Funder
Social Urban Data Lab
Netherlands Organization for Scientific Research (NWO) Top Grant
Amsterdam Institute for Advanced Metropolitan Solutions
Research Foundation Flanders (FWO) postdoctoral fellowship
FWO Strategic Basic Research
Publisher
Association for Computing Machinery (ACM)
Cited by
20 articles.
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1. Downlink-Uplink Symmetry in Mobile Battery-Free Retro-Reflective VLC: Enabling Sensing-Assisted Communications;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
2. Passive Laser Array Positioning: Real-Time Object Positioning System Based on Transformer;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25
3. Enabling Unique Photonic Markers for Visible Light Sensing;2024 47th MIPRO ICT and Electronics Convention (MIPRO);2024-05-20
4. Iris;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-09-27
5. R-VLCP: Channel Modeling and Simulation in Retroreflective Visible Light Communication and Positioning Systems;IEEE Internet of Things Journal;2023-07-01