Visible light communication based intelligent transportation systems (ITS-VLC) show great potential for future urban mobility. This study presents a performance evaluation of range estimation between vehicles and infrastructures in an ITS-VLC system. In the proposed ITS-VLC system, it is easy to simultaneously conduct communication and ranging using stereo cameras. However, the stereo camera calibration becomes a problem during simultaneous communication and ranging due to vehicle vibration. Using the data from LED transmitters and stereo cameras, it can obtain multiple measurements of distance. The monocular-stereo fusion algorithm is applied to visible light ranging in the proposed scheme using particle swarm optimization. We employed real data from the field trial experiment and achieved a ranging accuracy of 60 ± 1.0 m.


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    Title :

    Vehicle Distance Measurement based on Visible Light Communication Using Stereo Cameras


    Contributors:


    Publication date :

    2021-07-11


    Size :

    5711636 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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