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Proceedings Paper

High precision object geo-localization and visualization in sensor networks
Author(s): Simon Lemaire; Christoph Bodensteiner; Michael Arens
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Paper 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.

Paper Details

Date Published: 22 October 2013
PDF: 8 pages
Proc. SPIE 8899, Emerging Technologies in Security and Defence; and Quantum Security II; and Unmanned Sensor Systems X, 889919 (22 October 2013); doi: 10.1117/12.2028734
Show Author Affiliations
Simon Lemaire, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Christoph Bodensteiner, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Michael Arens, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)


Published in SPIE Proceedings Vol. 8899:
Emerging Technologies in Security and Defence; and Quantum Security II; and Unmanned Sensor Systems X
Edward M. Carapezza; Keith L. Lewis; Mark T. Gruneisen; Miloslav Dusek; Richard C. Hollins; Thomas J. Merlet; John G. Rarity, Editor(s)

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