Real-time monitoring of vehicle movements within a parking lot is crucial for creating a personalized parking guidance service. This applied research proposes using lane cameras to monitor vehicle dynamics, employing YOLOv8-based license plate object tracking and character recognition to determine the real-time location and movement direction of vehicles, while achieving cross-camera object tracking capabilities. With this critical information, the parking management system can provide tailored parking guidance instructions for each vehicle, reducing the burden on drivers to locate available parking spaces and contributing to lower carbon emissions.


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    Title :

    Vehicle Tracking Using Lane Cameras for Personalized Parking Guidance


    Contributors:


    Publication date :

    2025-03-29


    Size :

    454368 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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