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Design and Implementation of Autonomous Car using Raspberry Pi

by Gurjashan Singh Pannu, Mohammad Dawud Ansari, Pritha Gupta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 9
Year of Publication: 2015
Authors: Gurjashan Singh Pannu, Mohammad Dawud Ansari, Pritha Gupta
10.5120/19854-1789

Gurjashan Singh Pannu, Mohammad Dawud Ansari, Pritha Gupta . Design and Implementation of Autonomous Car using Raspberry Pi. International Journal of Computer Applications. 113, 9 ( March 2015), 22-29. DOI=10.5120/19854-1789

@article{ 10.5120/19854-1789,
author = { Gurjashan Singh Pannu, Mohammad Dawud Ansari, Pritha Gupta },
title = { Design and Implementation of Autonomous Car using Raspberry Pi },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 9 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 22-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number9/19854-1789/ },
doi = { 10.5120/19854-1789 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:30.082783+05:30
%A Gurjashan Singh Pannu
%A Mohammad Dawud Ansari
%A Pritha Gupta
%T Design and Implementation of Autonomous Car using Raspberry Pi
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 9
%P 22-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The project aims to build a monocular vision autonomous car prototype using Raspberry Pi as a processing chip. An HD camera along with an ultrasonic sensor is used to provide necessary data from the real world to the car. The car is capable of reaching the given destination safely and intelligently thus avoiding the risk of human errors. Many existing algorithms like lane detection, obstacle detection are combined together to provide the necessary control to the car.

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Index Terms

Computer Science
Information Sciences

Keywords

Raspberry PI lane detection obstacle detection.

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