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Weak Calibration of a Visible Light Positioning System Based on a Position-Sensitive Detector: Positioning Error
Álvaro De-La-Llana-Calvo1, José-Luis Lázaro-Galilea1, Alfredo Gardel-Vicente1
1Department of Electronics, University of Alcalá, Alcalá de Henares, 28801 Madrid, Spain.
Sensors (Basel, Switzerland)
|July 2, 2021
Summary
This study introduces a simple, low-cost indoor positioning system calibration method using lighting and genetic algorithms. It achieves high accuracy, reducing setup complexity and cost for scalable indoor navigation.
Area of Science:
- Robotics
- Computer Vision
- Sensor Fusion
Background:
- Scalable and cost-effective indoor positioning systems require reduced deployment and calibration.
- Existing methods often involve complex infrastructure and instruments.
Purpose of the Study:
- To propose a low-complexity, weak calibration procedure for an indoor positioning system.
- To assess the performance of the proposed calibration against formal methods.
Main Methods:
- Utilized infrastructure lighting and a positioning-sensitive detector.
- Employed genetic algorithms for parameter acquisition without a priori information.
- Required minimal, simple measurements for calibration.
Main Results:
- Achieved maximum accuracy reduction below 25 mm compared to formal calibration.
- Demonstrated overall absolute positioning error < 35 mm.
- Obtained orientation errors of approximately 0.25°.
Conclusions:
- The proposed weak calibration procedure is sufficient for many indoor positioning applications.
- Significantly reduces the cost and complexity of setting up indoor positioning systems.
- Enables scalable and cost-effective indoor navigation solutions.
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