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Mobile device geo-localization and object visualization in sensor networks

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

Volltext urn:nbn:de:0011-n-3106848 (1.0 MByte PDF)
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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: 28.10.2014

Bishop, G. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing II : 13.10.2014, Amsterdam
Bellingham, WA: SPIE, 2014 (Proceedings of SPIE 9250)
ISBN: 978-1-62841-313-7
Paper 92500P, 8 S.
Conference "Electro-Optical Remote Sensing, Photonic Technologies, and Applications" <8, 2014, Amsterdam>
Conference "Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing" <2, 2014, Amsterdam>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
object localization; object visualization self-localization; Sensorfusion

In this paper we present a method to visualize geo-referenced objects on modern smartphones using a multi- functional application design. The application applies different localization and visualization methods including the smartphone camera image. The presented application copes well with different scenarios. A generic application work flow and augmented reality visualization techniques are described. The feasibility of the approach is experimentally validated using an online desktop selection application in a network with a modern of-the-shelf smartphone. Applications are widespread and include for instance crisis and disaster management or military applications.