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Reseach Article

Visual Aided GPS Navigation for Autonomous Mobile Robots

by MPS Bhatia, Saurav Kumar, Akshi Kumar, Amit Kothari
journal cover thumbnail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 26
Year of Publication: 2010
Authors: MPS Bhatia, Saurav Kumar, Akshi Kumar, Amit Kothari
10.5120/486-796

MPS Bhatia, Saurav Kumar, Akshi Kumar, Amit Kothari . Visual Aided GPS Navigation for Autonomous Mobile Robots. International Journal of Computer Applications. 1, 26 ( February 2010), 11-19. DOI=10.5120/486-796

@article{ 10.5120/486-796,
author = { MPS Bhatia, Saurav Kumar, Akshi Kumar, Amit Kothari },
title = { Visual Aided GPS Navigation for Autonomous Mobile Robots },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 26 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 11-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number26/486-796/ },
doi = { 10.5120/486-796 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:41:51.896642+05:30
%A MPS Bhatia
%A Saurav Kumar
%A Akshi Kumar
%A Amit Kothari
%T Visual Aided GPS Navigation for Autonomous Mobile Robots
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 26
%P 11-19
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Navigation based on GPS data has been the most commonly used methodology for the autonomous run of a mobile robot in indoor and outdoor environments. However, the reading of the GPS receivers fluctuates over a considerable range esp. in countries like India where there is a dearth of GPS signals and locally available correction table. So the commonly received value by GPS receiver can be accurate over a range of 10-15mts which is inadequate if the test results require accuracy. This paper introduces a technique for the development of a visual aided GPS navigation system for a mobile robot in which we have predefined visual landmarks for the various important landmarks which robot has to visit. In our approach, we have mounted a stereovision camera on the robot platform for image acquisition, real time object recognition, detection and local features extraction from images using Scale-Invariant Feature Transform (SIFT).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Algorithms Performance Design Experimentation