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Single LED, Single PD-Based Adaptive Bayesian Tracking Method.

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  • 1Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.

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Summary

This study introduces a novel single LED, single photodetector visible light positioning (VLP) system. It achieves accurate indoor tracking with reduced computational load, enhancing VLP applicability in real-world scenarios.

Keywords:
Bayesian methodsindoor positioning system (IPS)sensor fusionsensor trackingvisible light positioning (VLP)

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Area of Science:

  • Robotics
  • Computer Vision
  • Indoor Navigation

Background:

  • Visible light positioning (VLP) systems are gaining traction for indoor location-based services due to their cost-effectiveness, energy efficiency, and lack of electromagnetic interference.
  • Existing VLP systems often require multiple signal sources, posing structural limitations and hindering practical application in diverse indoor environments.
  • Challenges remain in applying VLP systems reliably where consistent detection of multiple luminescent signals is difficult.

Purpose of the Study:

  • To propose a novel single Light Emitting Diode (LED), single Photodetector (PD) based tracking system for visible light positioning (VLP).
  • To address the limitations of existing VLP systems by enabling reliable indoor tracking with minimal signal sources.
  • To enhance the applicability of VLP in real-world scenarios, particularly where multiple signal detection is challenging.

Main Methods:

  • Development of a new Bayesian method to reduce the computational burden associated with particle filters in VLP systems.
  • Implementation of a particle reliability evaluation method that dynamically adjusts the number of particles.
  • Integration of absolute positioning from a single LED source to continuously correct for cumulative errors in inertial measurement units.

Main Results:

  • The proposed single LED, single PD system demonstrated effective indoor tracking capabilities.
  • Experimental validation in a classroom and corridor setting showed an average error of less than 11 cm.
  • The system achieved this accuracy over travel distances ranging from 80 to 100 meters.

Conclusions:

  • The developed Bayesian approach significantly reduces computational load for particle filters in VLP.
  • The single LED, single PD system offers a practical solution for indoor positioning, overcoming limitations of multi-source VLP.
  • The system's ability to correct inertial measurement unit drift enhances its robustness and applicability in diverse indoor environments.