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  Published Paper Details:

  Paper Title

SELF-DRIVING CAR BASED ON IMAGE PROCESSING WITH MACHINE LEARNING

  Authors

  Prof Rahul Patil,  Prabhat B Vanmore,  Rutuja Kharat,  Darpan Shindi

  Keywords

Machine Learning, Rasberry Pie, Arduino, Self Driving Car, Artificial Intelligence

  Abstract


Artificial Intelligence's creation has acted as a catalyst in the area of technology. Things that were once just a pigment of our imagination can now be realized. The birth of self-driving cars is one of these innovations. Days have come when you can do your work or even sleep in your car and still get to your destination without ever touching the steering wheel or accelerator securely. This project proposes a working model of a self-driving car that can drive from one place to another, or on various types of tracks such as curved, straight, and straight followed by curved tracks. Along with the Raspberry Pi , a camera module is mounted on the top of the vehicle. The images from the real world are sent to the Convolutional Neural Network via Raspberry Pi.The machine then forecasts one of the following ways. Right, left, forward, or stop are the options. After that,a signal is sent from the Arduino to the car's controller, and the car moves in the desired direction without any human interference.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2204409

  Paper ID - 215377

  Page Number(s) - d544-d547

  Pubished in - Volume 10 | Issue 4 | April 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Prof Rahul Patil,  Prabhat B Vanmore,  Rutuja Kharat,  Darpan Shindi,   "SELF-DRIVING CAR BASED ON IMAGE PROCESSING WITH MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 4, pp.d544-d547, April 2022, Available at :http://www.ijcrt.org/papers/IJCRT2204409.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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