Mutual Localization of UAVs based on Blinking Ultraviolet Markers and 3D Time-Position Hough Transform

Viktor Walter, Nicolas Staub, Martin Saska, Antonio Franchi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
1 Downloads (Pure)

Abstract

A novel vision-based approach for indoor/outdoor mutual localization on Unmanned Aerial Vehicles (UAVs) with low computational requirements and without external infrastructure is proposed in this paper. The proposed solution exploits the low natural emissions in the near-Ultra- Violet (UV) spectrum to avoid major drawbacks of the visible spec-trum.Such approach provides much better reliability while being less computationally intensive. Working in near-UV requires active markers, which can be leveraged by enriching the information content through blinking patterns encoded marker-ID. In order to track the markers motion and identify their blinking frequency, we propose an innovative use of three dimensional Hough Transform, applied to stored position-time points. The proposed method was intensively tested onboard multi-UAV systems in real-world scenarios that are very challenging for visible-spectrum methods. The results of our methods in terms of robustness, reliability and precision, as well as the low requirement on the system deployment, predestine this method to be an enabling technology for using swarms of UAVs.

Original languageEnglish
Title of host publication2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
PublisherIEEE Computer Society Press
Pages298-303
Number of pages6
ISBN (Electronic)9781538635933
DOIs
Publication statusPublished - 4 Dec 2018
Externally publishedYes
Event14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Technical University of Munich, Campus Garching, Munich, Germany
Duration: 20 Aug 201824 Aug 2018
Conference number: 14

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2018-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference14th IEEE International Conference on Automation Science and Engineering, CASE 2018
Abbreviated titleCASE 2018
CountryGermany
CityMunich
Period20/08/1824/08/18

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