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Pedestrian Protection System for ADAS using ARM 9

by Rajashri Sanatkumar Dixit, S.T. Gandhe, Pravin Dhulekar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 127 - Number 2
Year of Publication: 2015
Authors: Rajashri Sanatkumar Dixit, S.T. Gandhe, Pravin Dhulekar
10.5120/ijca2015906327

Rajashri Sanatkumar Dixit, S.T. Gandhe, Pravin Dhulekar . Pedestrian Protection System for ADAS using ARM 9. International Journal of Computer Applications. 127, 2 ( October 2015), 19-23. DOI=10.5120/ijca2015906327

@article{ 10.5120/ijca2015906327,
author = { Rajashri Sanatkumar Dixit, S.T. Gandhe, Pravin Dhulekar },
title = { Pedestrian Protection System for ADAS using ARM 9 },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 127 },
number = { 2 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume127/number2/22701-2015906327/ },
doi = { 10.5120/ijca2015906327 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:18:49.637918+05:30
%A Rajashri Sanatkumar Dixit
%A S.T. Gandhe
%A Pravin Dhulekar
%T Pedestrian Protection System for ADAS using ARM 9
%J International Journal of Computer Applications
%@ 0975-8887
%V 127
%N 2
%P 19-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We developed pedestrian protection system by using haar cascade algorithm with Friendly ARM (S3C2440) board as a hardware. This system is developed on opencv platform using ubuntu as an operating system. This system will work in two mode auto and manual. In auto mode as soon as pedestrian get detected break will be applied if pedestrian is in high risk area. And for manual mode there is alarm or buzzer will sound to alert driver. This system gives low false positive as well as low false negative rate. This system is low cost system as compare with state of art.

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Index Terms

Computer Science
Information Sciences

Keywords

Feature extraction friendly ARM haar cascade algorithm Pedestrian detection.

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