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Reseach Article

Survey: Visual Navigation for Mobile Robot

Published on September 2016 by Nawang Lama, Biswaraj Sen, Kiran Gautam
International Conference on Computing and Communication
Foundation of Computer Science USA
ICCC2016 - Number 2
September 2016
Authors: Nawang Lama, Biswaraj Sen, Kiran Gautam
eb1b3173-c092-4783-941c-9816da168a31

Nawang Lama, Biswaraj Sen, Kiran Gautam . Survey: Visual Navigation for Mobile Robot. International Conference on Computing and Communication. ICCC2016, 2 (September 2016), 5-11.

@article{
author = { Nawang Lama, Biswaraj Sen, Kiran Gautam },
title = { Survey: Visual Navigation for Mobile Robot },
journal = { International Conference on Computing and Communication },
issue_date = { September 2016 },
volume = { ICCC2016 },
number = { 2 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 5-11 },
numpages = 7,
url = { /proceedings/iccc2016/number2/26159-cc63/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing and Communication
%A Nawang Lama
%A Biswaraj Sen
%A Kiran Gautam
%T Survey: Visual Navigation for Mobile Robot
%J International Conference on Computing and Communication
%@ 0975-8887
%V ICCC2016
%N 2
%P 5-11
%D 2016
%I International Journal of Computer Applications
Abstract

There has been countless researches for vision based navigation and control in the field of autonomous mobile robot. Vision which was costlier in terms of processing power was not good enough for real time application in early days of robotics. But with new approaches, better computational power and effective algorithm, vision was area of interest for many researches for better navigation of robot which produced numerous research opportunities. For localization, automatic map construction, autonomous navigation, path following, inspection, monitoring or risky situation detection vision is most commonly used approach. This paper surveys almost all those papers by researchers whose works provided wide and numerous break-through in visual navigation techniques for land, aerial and autonomous underwater vehicles in the field of autonomous mobile robot.

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Index Terms

Computer Science
Information Sciences

Keywords

Mobile Robots Visual Navigation