Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery

Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery

In this paper, 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 and transmitted by an airborne camera...

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Bibliographic Details
Main Authors: Florian Hillen, Oliver Meynberg, Bernhard Höfle
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
geo-information fusion
aerial images
smartphone trajectories
texture classification
Gabor filter
least-cost routing
Online Access:http://www.mdpi.com/2220-9964/4/2/974

Internet

http://www.mdpi.com/2220-9964/4/2/974

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