UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1906591


Registration ID:
213699

Page Number

54-58

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Title

AUTONOMOUS VEHICLE USING ARTIFICIAL INTELLIGENCE

Abstract

This project has been worked upon within the context of a time where each day we are witnessing the ever-increasing evolution in the field of Autonomous Self-driving vehicles due to an increase in the computing power and processing speeds of the modern computers. Self-driving vehicles, being the buzz of the 21st century has been steadily cementing their crucial role and more importantly, their humble contribution in reducing the fatal driving errors caused by human inputs such as reckless driving, violating lane-keeping laws, etc. ultimately leading to damage of life and property. Just as fatal as human driving errors can become, pedestrian errors similarly can yield equally life-threatening losses. Thus, Autonomous Self-driving vehicles would be playing a crucial role to curb these fatal losses and in turn, make the journey safer and relaxing for the onboard passengers. Self-driving vehicles developed by Tesla, Google Waymo autonomous vehicle project group and the modified vehicles by Nvidia have been under development stages in order to increase their reliability for common masses. This final year project depicts how a Self-driving vehicle can be devised from a simple Remote-controlled car by using a Raspberry-Pi as our Data acquisition system and using the supervised learning method of machine learning with the help of Convolutional neural network model. The goal of the project is to devise a Self-driving vehicle from a scratch with extensive training over various parameters using minimum viable compute resources. The Self-driving car was developed in two stages across a span of 6 months and then finally training the model for a further two months to acquire the desired results..

Key Words

Self driving vehicle, Machine learning, Neural network, Raspberry Pi, Arduino.

Cite This Article

"AUTONOMOUS VEHICLE USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.54-58, June-2019, Available :http://www.jetir.org/papers/JETIR1906591.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AUTONOMOUS VEHICLE USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp54-58, June-2019, Available at : http://www.jetir.org/papers/JETIR1906591.pdf

Publication Details

Published Paper ID: JETIR1906591
Registration ID: 213699
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 54-58
Country: Mumbai, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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