High precision object geo-localization and visualization in sensor networks | Zendy

Simon Lemaire | Zendy; Christoph Bodensteiner | Zendy; Michael Arens | Zendy

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High precision object geo-localization and visualization in sensor networks

Author(s) -

Simon Lemaire,

Christoph Bodensteiner,

Michael Arens

Publication year - 2013

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.2028734

Subject(s) - computer science , visualization , augmented reality , object (grammar) , computer vision , object detection , artificial intelligence , geolocation , real time computing , pattern recognition (psychology) , world wide web

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

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