The evolution of Artificial Intelligence has served as the catalyst in the field of technology. We can now develop things which was once just an imagination. One of such creation is the birth of self-driving car. Days have come where one can do their work or even sleep in the car and without even touching the steering wheel, accelerator you will still be able to reach your target destination safely. This paper proposes a working model of self-driving car which is capable of driving from one location to the other or to say on different types of tracks such as curved tracks, straight tracks and straight followed by curved tracks. A camera module is mounted over the top of the car along with Raspberry Pi sends the images from real world to the Convolutional Neural Network which then predicts one of the following directions. i.e. right, left, forward or stop which is then followed by sending a signal from the Arduino to the controller of the remote controlled car and as a result of it the car moves in the desired direction without any human intervention.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Working model of Self-driving car using Convolutional Neural Network, Raspberry Pi and Arduino


    Beteiligte:


    Erscheinungsdatum :

    01.03.2018


    Format / Umfang :

    6689498 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Implementation of Self Driving Car System with HSV Filter Method Based on Raspberry & Arduino Serial Communication

    Kelvin Kristian Roestamadji / Florentinus Budi Setiawan / Leonardus Heru Pratomo et al. | DOAJ | 2023

    Freier Zugriff

    Raspberry Pi and Arduino : go to the next level

    Packt Publishing, | TIBKAT | 2022


    Raspberry Pi and Arduino : go to the next level

    Packt Publishing, | TIBKAT | 2022



    Convolutional Neural Network Based on Self-Driving Autonomous Vehicle (CNN)

    Babu Naik, G. / Ameta, Prerit / Baba Shayeer, N. et al. | Springer Verlag | 2022