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Fusion-driven visible light positioning using photodiode and event camera.

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    This study introduces a novel hybrid visible light positioning (VLP) system using an event camera and photodiode (PD) for high-accuracy indoor sensing. The system achieves precise 3D localization and demonstrates robustness against interference.

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    Area of Science:

    • Optoelectronics
    • Indoor Positioning Systems
    • Computer Vision

    Background:

    • Visible Light Positioning (VLP) is crucial for high-accuracy indoor sensing.
    • Existing systems using photodiodes (PDs) or CMOS cameras face challenges like ambient interference and limited sensitivity range.
    • There is a need for robust and accurate VLP solutions.

    Purpose of the Study:

    • To propose a novel hybrid VLP framework integrating an event camera and a PD.
    • To leverage the strengths of both sensor types for improved 3D positioning.
    • To enhance positioning accuracy through dynamic compensation for camera distortion.

    Main Methods:

    • Integration of an event camera and a PD into a hybrid VLP system.
    • Utilizing an extended Kalman filter (EKF) for sensor data fusion.
    • Implementing a dynamic compensation algorithm to correct camera radial distortion.

    Main Results:

    • Achieved an average localization accuracy of 1.98cm in the horizontal 2D plane.
    • Achieved an average localization accuracy of 0.83cm in the vertical direction.
    • Demonstrated system robustness in low signal-to-noise ratio (SNR) conditions and against ambient light interference.

    Conclusions:

    • The proposed hybrid VLP system effectively overcomes limitations of traditional VLP methods.
    • The EKF-based data fusion and dynamic compensation enhance 3D positioning accuracy and reliability.
    • This framework offers a promising solution for high-accuracy indoor sensing applications.