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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM9160

Self-Driving Car Using Convolutional Neural Network

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM9160

Volume:

5 |

6 |

Jun 2021

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AK

Ankit Kumar

FK

Fardeen Khan

KRN

Kiran R Naik

RM

Rohini M

DSD

Dr. Shashikumar D.R

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Abstract

Self-driving cars are cars that do not need human assistance to drive from one place to another. With the development of artificial intelligence, it worked as a catalyst in the field of technology. Using this technology, we can now develop self-driving cars. One such creation is the birth of self-driving cars. Adding assistive information technology to vehicles, such as the use of cameras and stability control systems, improves passenger safety. This project proposes a car model that can drive from one place to another . It uses the camera to take pictures of real things later, sends them to a convolutional neural network through the ESP32 DEVKI, and the Arduino decides any direction to drive the car and reach its destination..

KEYWORDS

Airtificial intellegency Machine learning ESP DEVKIT L2981 Ultra Sonic Sensors image processing convolutional neural network arduino IDE.

Cite This Article

Ankit Kumar, Fardeen Khan, Kiran R Naik, Rohini M, Dr. Shashikumar D.R, "Self-Driving Car Using Convolutional Neural Network," International Journal of Scientific Research in Engineering and Management, vol. 5, no. 6, Jun 2021.

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Publication Date

5/26/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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