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:
JETIR1907V71


Registration ID:
225073

Page Number

444-448

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Title

A Comparative Study on Various CNN Algorithms For Object Detection in Autonomous Vehicle

Authors

Abstract

Object detection is very attractive research topic in recent years because it has close relationship with video analysis and image understanding. As a key use of image processing, object detection has boomed along with the Convolution Neural Network (CNN) and its variants since 2012. In this paper, we provide a review on deep learning-based object detection algorithms.

Key Words

Algorithm, CNN, R-CNN, Faster CNN, YOLO

Cite This Article

"A Comparative Study on Various CNN Algorithms For Object Detection in Autonomous Vehicle", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.444-448, June 2019, Available :http://www.jetir.org/papers/JETIR1907V71.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

"A Comparative Study on Various CNN Algorithms For Object Detection in Autonomous Vehicle", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp444-448, June 2019, Available at : http://www.jetir.org/papers/JETIR1907V71.pdf

Publication Details

Published Paper ID: JETIR1907V71
Registration ID: 225073
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 444-448
Country: SURAT, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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