Mobile device geo-localization and object visualization in sensor networks | Zendy

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

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Mobile device geo-localization and object visualization in sensor networks

Author(s) -

Simon Lemaire,

Christoph Bodensteiner,

Michael Arens

Publication year - 2014

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 - 10.1117/12.2067217

Subject(s) - visualization , computer science , augmented reality , mobile device , object (grammar) , object detection , human–computer interaction , data visualization , computer vision , real time computing , artificial intelligence , computer graphics (images) , world wide web , segmentation

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

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