Tag: smartphone
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How to find the fastest way out of a dense human crowd using your smartphone?
In our research “Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery“, we propose a navigation approach for smartphones that enables visitors of major events to avoid crowded areas or narrow streets and to navigate out of dense crowds quickly. Two types of sensor data are integrated. Real-time optical images acquired…
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TV broadcast: Information fusion infrastructure for remote-sensing and in-situ sensor data to model people dynamics
The German TV station NDR broadcasted a short interview (in German) with Florian Hillen (Univ. Osnabrück) talking about our paper on Information Fusion Infrastructure for Remote Sensing and In-Situ Sensor Data to Model People Dynamics in the International Journal of Image and Data Fusion. Vol. 5(1), pp. 54-69. DOI: 10.1080/19479832.2013.870934, by Hillen, F., Höfle, B.,…