A fully automated driving system allows an autonomous vehicle to adapt to external conditions that a human driver would typically handle. Using deep learning (DL), machine learning (ML), computer vision (CV), and conventional neural networks (CNN), a self-driving automobile will be developed in this study by modeling the design of a car body and the implementation of various sensors on the car chassis in order to automatically run the cars. In addition, the car will undergo real-time obstetrical on the roads and self-training in order to learn itself appropriately. In contrast, the fundamental principles of artificial intelligence and their relationship to the autonomous car are examined.


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    Titel :

    Developing a Self-Driving Autonomous Car using Artificial Intelligence Algorithm




    Erscheinungsdatum :

    01.12.2022


    Format / Umfang :

    910870 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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