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Erschienen in:
Critical Review and Progress of Adaptive Controller Design for Robot Arms Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Mobile Robot Applied to QR Landmark Localization Based on the Keystone Effect

verfasst von : Vibekananda Dutta

Erschienen in: Mechatronics and Robotics Engineering for Advanced and Intelligent Manufacturing

Verlag: Springer International Publishing

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Abstract

This paper proposes a method for the localization of QR (Quick Respond) landmark based on the Keystone Effect (KE) for real-time positioning applications. This is an important aspect, whose solution is still necessary for improving performance in autonomous landmark-based navigation tasks. The paper presents an experimental analysis of the localization of QR landmark and discuss the results which minimize the keystone distortion related to the precision of estimating the landmark’s position in a given environment. Through the experiment, the use of proposed algorithm in performing landmark-based robotics action tasks by a Seekur Jr mobile robot is demonstrated.

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Vorheriges Kapitel Overview of an Engineering Teaching Module on Robotics Safety
Nächstes Kapitel A Collective Behaviour Framework for Multi-agent Systems
Fußnoten
1
The idea about the geometrical derivation has been taken from article (Dutta 2015).
 
2
A first version of this work was published in “10th Young Scientists Conference”, Warsaw, Poland, September 21–23, 2015.
 
Literatur
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Aleksandrovich, Y. D., Gennadievich, P. G., Stepanovich, K. A., & Zalmanovich, M. V. (2013). Mobile robot navigation based on artificial landmarks with machine vision system. World Applied Sciences Journal, 24(11), 1467–1472.
Belussi, L. F., & Hirata, N. S. (2013). Fast component-based QR code detection in arbitrarily acquired images. Journal of Mathematical Imaging and Vision, 45(3), 277–292.MathSciNetCrossRef
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Metadaten
Titel
Mobile Robot Applied to QR Landmark Localization Based on the Keystone Effect
verfasst von
Vibekananda Dutta
Copyright-Jahr
2017
Buch
Mechatronics and Robotics Engineering for Advanced and Intelligent Manufacturing

Print ISBN: 978-3-319-33580-3

Electronic ISBN: 978-3-319-33581-0

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-33581-0_4

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