Paper
22 October 2013 High precision object geo-localization and visualization in sensor networks
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Simon Lemaire, Christoph Bodensteiner, and Michael Arens "High precision object geo-localization and visualization in sensor networks", Proc. SPIE 8899, Emerging Technologies in Security and Defence; and Quantum Security II; and Unmanned Sensor Systems X, 889919 (22 October 2013); https://doi.org/10.1117/12.2028734
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Visualization

Mobile devices

Cameras

Video

Unmanned aerial vehicles

Sensors

Augmented reality

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