In this modern era, the Automobile Industry is getting updated day by day with the implementation of the latest technologies in vehicles. Artificial Intelligence and Machine Learning are some of the best trending and useful technologies in the world. Google, the expert in technologies, working on such projects since 2010 and continuously making modifications to it to date. In this paper, we focus on the implementation of all these advanced technologies in the vehicle to make the vehicle automated. Vehicles can detect and analyze their surroundings with the help of OpenCV by which vehicles can take decisions according to the surrounding conditions and drive on itself without human aid. Machine Learning helps the vehicle to understand the traffic signals and signboards so that a vehicle can drive according to it. These technologies help the vehicle to drive in rush traffics to minimize the use of clutch and brake. Since there is no human interaction, the human error will not be there and hence it will strictly follow the traffic rules and also minimize the percentage of accidents. Again with the help of IoT (Internet of Things) technology, the vehicle can notify all emergency stations (like a police station, fire station, etc.) about any emergency (like an accident). Hence by using all the latest technologies, our vehicle is increasing the efficiency of roads, fuel, emergency stations, etc. It also makes a better driving experience by giving relaxation to the driver.


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    Titel :

    Artificial Intelligence Based Self-Driving Car


    Beteiligte:
    Prof D. P. Radke (Autor:in) / Vaibhav Bawankar (Autor:in) / Sagar Deshmukh (Autor:in) / Gauri Lambat (Autor:in) / Bhargavi Kharwade (Autor:in)

    Erscheinungsdatum :

    2020-03-06


    Anmerkungen:

    oai:zenodo.org:3698550
    Advancement of Computer Technology and its Applications 3(1) 1-9



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




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