Skip to main content

Research Repository

Advanced Search

Cooperative localization of unmanned aerial vehicles in ROS: the atlas node.

Kremer, Paul; Dentler, Jan; Kannan, Somasundar; Voos, Holger

Authors

Paul Kremer

Jan Dentler

Holger Voos



Abstract

This paper is presenting the implementation and experimental validation of the cooperative robot localization framework "Atlas". For ease of application, Atlas is implemented as a package for the Robot Operating System (ROS). ATLAS is based on dynamic cooperative sensor fusion which optimizes the estimated pose with respect to noise, respective variance. This paper validates the applicability of Atlas by cooperatively localizing multiple real quadrotors using cameras and fiduciary markers.

Citation

KREMNER, P., DENTLER, J., KANNAN, S. and VOOS, H. 2017. Cooperative localization of unmanned aerial vehicles in ROS: the atlas node. In Proceedings of the 15th IEEE (Institute of Electrical and Electronics Engineers) International conference on industrial informatics 2017 (INDIN 2017), 24-26 July 2017, Emden, Germany. Piscataway: IEEE [online], pages 319-235. Available from: https://doi.org/10.1109/INDIN.2017.8104792

Conference Name 15th IEEE (Institute of Electrical and Electronics Engineers) International conference on industrial informatics 2017 (INDIN 2017)
Conference Location Emden, Germany
Start Date Jul 24, 2017
End Date Jul 26, 2017
Acceptance Date Feb 28, 2017
Online Publication Date Jul 26, 2017
Publication Date Nov 13, 2017
Deposit Date Nov 1, 2022
Publicly Available Date Nov 1, 2022
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Pages 319-325
Series ISSN 2378-363X
ISBN 9781538608371
DOI https://doi.org/10.1109/INDIN.2017.8104792
Keywords Robot sensing systems; Cameras; Drones; Transforms; Standards; Electronic mail
Public URL https://rgu-repository.worktribe.com/output/1279781
Publisher URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041175232&doi=10.1109%2fINDIN.2017.8104792&partnerID=40&md5=4d3dd021a2fdeb5d238f31b1118ec542

Files

KREMNER 2017 Cooperative localization of unmanned (AAM) (906 Kb)
PDF

Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.




You might also like



Downloadable Citations