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Reseach Article

Intelligent Vehicle Navigation using Fuzzy Logic

Published on December 2013 by Vivek Deshmukh, Pravin Kshirsagar
National Conference on Innovative Paradigms in Engineering & Technology 2013
Foundation of Computer Science USA
NCIPET2013 - Number 8
December 2013
Authors: Vivek Deshmukh, Pravin Kshirsagar
c490530a-ebc4-46a1-9947-37ff5a33ec57

Vivek Deshmukh, Pravin Kshirsagar . Intelligent Vehicle Navigation using Fuzzy Logic. National Conference on Innovative Paradigms in Engineering & Technology 2013. NCIPET2013, 8 (December 2013), 13-16.

@article{
author = { Vivek Deshmukh, Pravin Kshirsagar },
title = { Intelligent Vehicle Navigation using Fuzzy Logic },
journal = { National Conference on Innovative Paradigms in Engineering & Technology 2013 },
issue_date = { December 2013 },
volume = { NCIPET2013 },
number = { 8 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 13-16 },
numpages = 4,
url = { /proceedings/ncipet2013/number8/14747-1443/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Innovative Paradigms in Engineering & Technology 2013
%A Vivek Deshmukh
%A Pravin Kshirsagar
%T Intelligent Vehicle Navigation using Fuzzy Logic
%J National Conference on Innovative Paradigms in Engineering & Technology 2013
%@ 0975-8887
%V NCIPET2013
%N 8
%P 13-16
%D 2013
%I International Journal of Computer Applications
Abstract

The issue of Autonomous vehicle navigation has shown rapid progress due to advent of computer integration in mechanics. The field is developing due to tremendous size reduction in Electronic devices allowing us to embed the computing power into these mobile machines. The with final integration of Embedded Systems and Mechanics these vehicles will one day definitely become autonomous. Auto Cruise Control (ACC) is the technology in present implementation does this work efficiently. But ACC is just the start. Many more ways are available like, Path Tracking, Visual Target Tracking are being implemented using Fuzzy Logic and other Artificial Intelligence techniques. The sole aim is to make system Automatic. But every automatic system if given extensive degree of freedom then it tends to give unwanted or unexpected results, no matter how intelligent the system is. So aim of our idea is to confine the intelligence of these vehicles in some Protocols or Laws so that the domain of decisions by system is under control or even already known. Employing Fuzzy Logic we are making the decision structure of autonomous vehicles intelligent but also designing these in forms of protocols itself.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Autonomous Vehicle Navigation Fuzzy Control.