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Received signal strength assisted perspective-three-point algorithm for indoor visible light positioning.

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    Summary

    A new Received Signal Strength assisted Perspective-Three-Point Positioning (R-P3P) algorithm enhances visible light positioning (VLP) accuracy. This method uses both visual and signal strength data from 3 LEDs, improving indoor positioning regardless of device orientation.

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    Area of Science:

    • Electrical Engineering
    • Computer Science
    • Robotics

    Background:

    • Visible Light Positioning (VLP) systems offer precise indoor localization.
    • Accurate VLP is challenged by the directional nature of light, impacting LED and receiver orientation.
    • Existing methods often require specific alignments, limiting practical deployment.

    Purpose of the Study:

    • To propose a novel algorithm, Received Signal Strength assisted Perspective-Three-Point Positioning (R-P3P), for VLP systems.
    • To overcome the orientation limitations of LEDs and receivers in VLP.
    • To enhance positioning accuracy and robustness in diverse indoor environments.

    Main Methods:

    • The R-P3P algorithm integrates received signal strength (RSS) with visual geometric information.
    • It employs data from three Light-Emitting Diodes (LEDs) to estimate the receiver's 3D position.
    • The method is designed to be independent of the specific orientations of the LEDs and the receiver.

    Main Results:

    • Simulations demonstrate that R-P3P achieves high positioning accuracy.
    • The algorithm provides accuracy within 10 cm across more than 70% of the simulated indoor area.
    • R-P3P exhibits low computational complexity, suitable for real-time applications.

    Conclusions:

    • The R-P3P algorithm effectively addresses orientation challenges in VLP systems.
    • It offers a robust and accurate solution for indoor positioning using visible light.
    • The proposed method shows significant potential for practical VLP applications requiring precise localization.