Traditional automobile manufacturing enterprises do not fully consider intelligent driving in automobile manufacturing. With the rise of the Internet and the new era, intelligent driving technology is becoming more and more popular. In this process, a very important technology is the distance measurement system between this car and other vehicles in front of this car. This paper has developed a vehicle distance identification system based on machine learning in view of the above technical difficulties and can calculate the distance between the preceding and the current vehicle. This paper formulates a special sample for complex road conditions and uses the sample to train the feature data model.


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    Titel :

    Research on Vehicle Distance Recognition System Based on Machine Learning and OpenCV


    Beteiligte:
    Qiao, Guanren (Autor:in) / Jiang, Han (Autor:in) / Min, Yue (Autor:in)


    Erscheinungsdatum :

    27.05.2022


    Format / Umfang :

    4216219 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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