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Vehicle positioning scheme based on visible light communication using a CMOS camera.

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    This study introduces a visible light positioning (VLP) system using LED streetlights and CMOS cameras for accurate vehicle navigation. The proposed method effectively reduces blooming effects and corrects for camera tilt, achieving high positioning accuracy even at higher speeds.

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    Area of Science:

    • Optoelectronics
    • Navigation Systems
    • Image Processing

    Background:

    • Visible light communication (VLC) offers potential for vehicle positioning due to its accuracy and low cost.
    • Existing visible light positioning (VLP) methods face challenges with LED signal blooming and camera tilt, impacting performance.
    • Light emitting diodes (LEDs) are ubiquitous in urban infrastructure, making them ideal for VLP transmitters.

    Purpose of the Study:

    • To propose and demonstrate a novel vehicle positioning scheme utilizing visible light communication (VLC).
    • To address and mitigate performance degradation caused by blooming effects and camera tilt in VLP systems.
    • To enhance the accuracy and reliability of vehicle positioning using LED streetlights and CMOS cameras.

    Main Methods:

    • A bit length estimation (BLE) based sampling scheme was developed to counteract blooming effects in CMOS camera images.
    • A novel angle compensation scheme integrated with a particle filter was implemented to correct for camera tilt.
    • Experimental validation was conducted using LED streetlights as transmitters and CMOS cameras as receivers under controlled conditions.

    Main Results:

    • The proposed BLE scheme effectively obtains reference location information from captured images, mitigating blooming.
    • The angle compensation scheme significantly improved positioning accuracy in the presence of camera tilt.
    • Experimental results demonstrated positioning accuracy of 0.128 m at 9° tilt and 0.13 m at 15.5° tilt, at a vehicle speed of 8 m/s.

    Conclusions:

    • The developed VLC-based vehicle positioning scheme is effective in overcoming blooming and tilt-related errors.
    • The system shows promise for real-world vehicular applications, offering high accuracy and robustness.
    • This technology can enhance intelligent transportation systems by providing reliable and precise vehicle localization.