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Accuracy and Precision of Agents Orientation in an Indoor Positioning System Using Multiple Infrastructure Lighting
Álvaro De-La-Llana-Calvo1, José Luis Lázaro-Galilea2, Aitor Alcázar-Fernández2
1Department of Applied Mathematics, Materials Science and Engineering and Electronic Technology, Rey Juan Carlos University, 28933 Móstoles, Madrid, Spain.
This study introduces a novel indoor localization system using visible light and position-sensitive device (PSD) sensors for precise orientation estimation. The system achieves high accuracy, with rotation angle errors under 0.2 degrees.
Area of Science:
- Robotics
- Indoor Positioning Systems
- Sensor Technology
Background:
- Accurate agent orientation is crucial for many indoor localization applications.
- Existing systems may not provide sufficient orientation precision.
- Visible light communication (VLC) offers a promising avenue for indoor sensing.
Purpose of the Study:
- To develop and evaluate an orientation estimation system using visible light and position-sensitive device (PSD) sensors.
- To determine the accuracy of orientation estimation with varying numbers of light sources.
- To assess the system's performance in a real-world indoor environment.
Main Methods:
- Utilized position-sensitive device (PSD) sensors to detect visible light from room illumination.
- Employed 2 or 4 light sources simultaneously for orientation estimation.
- Experimentally validated the system in a 2.5m-high room over a 2.2m² area.
- Used geodetic measurement tools for ground truth reference.
Main Results:
- Orientation estimation error was less than 0.2 degrees for two emitters.
- With four light sources, mean errors for Euler rotation angles were below 0.35° (x, y-axis) and 0.16° (z-axis).
- High accuracy was experimentally verified.
Conclusions:
- The proposed system effectively estimates agent orientation using visible light and PSD sensors.
- The system demonstrates high precision, suitable for demanding indoor localization tasks.
- This approach offers a viable solution for accurate indoor orientation sensing.
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