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Single LED visible light positioning system based on image sensor and calculated azimuth angle
Applied Optics
|February 23, 2023
Summary
This study introduces a visible light positioning (VLP) system using a smartphone camera and a single LED lamp. The novel method achieves high accuracy for 3D positioning without needing a magnetometer.
Area of Science:
- Optical engineering
- Indoor positioning systems
- Computer vision
Background:
- Visible Light Positioning (VLP) systems offer a promising alternative for indoor localization.
- Existing VLP systems often rely on magnetometers for accurate azimuth estimation, which can be susceptible to interference.
- Smartphone cameras are ubiquitous, making camera-based VLP systems highly accessible.
Purpose of the Study:
- To propose and demonstrate a novel single-lamp Visible Light Positioning (VLP) system utilizing a standard smartphone camera.
- To enhance azimuth angle accuracy by employing a marked lamp bead, eliminating the need for a magnetometer.
- To introduce an improved VLP positioning algorithm based on image plane chords.
Main Methods:
- A VLP system was designed using a circular light-emitting diode (LED) for data transmission and a smartphone camera for image acquisition.
- A new scheme for azimuth angle calculation was developed using a marked lamp bead on the LED.
- A novel positioning method was implemented using image plane chords passing through midpoints of parallel chords.
Main Results:
- The proposed system successfully demonstrated VLP using a single LED and a smartphone camera.
- The azimuth angle calculation method, without a magnetometer, improved positioning accuracy.
- In an experimental area of 1.8m x 3.6m, 3D positioning errors were as low as 7.2 cm at a height of 1.2m.
Conclusions:
- The developed single-lamp VLP system provides accurate 3D positioning using readily available hardware.
- The novel azimuth calculation and image plane chord methods significantly enhance VLP performance.
- This approach offers a practical and accurate solution for indoor localization applications.
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