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Efficient RGB–D data processing for feature–based self–localization of mobile robots Cover

Efficient RGB–D data processing for feature–based self–localization of mobile robots

International Journal of Applied Mathematics and Computer Science
Volume 26 (2016): Issue 1 (March 2016)
By: ,  ,  ,   and    
Open Access
|Mar 2016
Authors

Authors

DOI: https://doi.org/10.1515/amcs-2016-0005 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 63 - 79
Submitted on: Sep 28, 2014
Published on: Mar 31, 2016
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
visual odometry,
simultaneous localization and mapping,
RGB-D,
tracking,
point features
Related subjects:
Mathematics,
Applied mathematics

© 2016 Marek Kraft, Michał Nowicki, Rudi Penne, Adam Schmidt, Piotr Skrzypczyński, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 26 (2016): Issue 1 (March 2016)
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