UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDQ06015


Registration ID:
229867

Page Number

114-118

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Title

Review on Machine Learning based algorithms used in Autonomous cars

Abstract

Machine learning is now used widely for finding the resolutions to numerous challenges like market prediction, self-driving cars and several others. Integrating sensors in centralized electronic control unit in a car can increase the use of Machine learning to perform new functions. To drive a vehicle without human interference, there requires a sophisticated framework of sensors to capture vehicle data as well as surroundings data. These sensors comprise LiDAR, video, cameras, RADAR etc. that generate a high amount of data continuously in real time about the surrounding environment of car. In this paper, we are going to discuss about the Machine learning algorithms that are used in autonomous cars.

Key Words

Self-driving cars, Machine learning, LiDAR, RADAR.

Cite This Article

"Review on Machine Learning based algorithms used in Autonomous cars", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.114-118, October 2018, Available :http://www.jetir.org/papers/JETIRDQ06015.pdf

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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

"Review on Machine Learning based algorithms used in Autonomous cars", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp114-118, October 2018, Available at : http://www.jetir.org/papers/JETIRDQ06015.pdf

Publication Details

Published Paper ID: JETIRDQ06015
Registration ID: 229867
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 114-118
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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