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High precision object geo-localization and visualization in sensor networks

 
: Lemaire, Simon; Bodensteiner, Christoph; Arens, Michael

:
Volltext urn:nbn:de:0011-n-2612451 (2.7 MByte PDF)
MD5 Fingerprint: a9315e3072027202944836000f97dfc9
Copyright Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Erstellt am: 19.11.2013


Lewis, K.L. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Emerging Technologies in Security and Defence and Quantum Security II and Unmanned Sensor Systems X : 23-26 September 2013, Dresden, Germany
Bellingham, WA: SPIE, 2013 (Proceedings of SPIE 8899)
ISBN: 978-0-8194-9768-0
Paper 889919
Conference "Emerging Technologies in Security and Defence" <2013, Dresden>
Conference "Quantum Security" <2, 2013, Dresden>
Conference "Unmanned Sensor Systems" <10, 2013, Dresden>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
object localisation; geo-referentiation; image registration; visual self-localization

Abstract
The wide availability of previously acquired, geo-referenced imagery enables automatic video based solutions for high precision object geo-localization and cooperative visualization. We present a system which geo-references objects seen in UAV video streams, distributes this information in a sensor network and visualizes them on modern smartphones using augmented reality techniques. The feasibility of the approach was experimentally validated using Mini-UAV ("MD-400") and high altitude UAV video footage in combination with modern off-the-shelve smartphones. Applications are widespread and include for instance crisis and disaster management or military applications.

: http://publica.fraunhofer.de/dokumente/N-261245.html