Landmark-based pedestrian navigation from collections of geotagged photos

Authors:
Harlan Hile;Ramakrishna Vedantham;Gregory Cuellar;Alan Liu;Natasha Gelfand;Radek Grzeszczuk;Gaetano Borriello
Affiliations:
University of Washington, Seattle, WA and Nokia Research Center, Palo Alto, Palo Alto, CA;Nokia Research Center, Palo Alto, Palo Alto, CA;Nokia Research Center, Palo Alto, Palo Alto, CA;University of Washington, Seattle, WA and Nokia Research Center, Palo Alto, Palo Alto, CA;Nokia Research Center, Palo Alto, Palo Alto, CA;Nokia Research Center, Palo Alto, Palo Alto, CA;University of Washington, Seattle, WA
Venue:
Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia
Year:
2008

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Abstract

Mobile phones are an attractive platform for landmark-based pedestrian navigation systems. To be practical, such a system must be able to automatically generate lightweight directions that can be displayed on these mobile devices. We present a system that leverages an online collection of geotagged photographs to automatically generate navigational instructions. These are presented to the user as a sequence of images of landmarks augmented with directional instructions. Both the landmark selection and image augmentation are done automatically. We present a user study that indicates these generated directions are beneficial to users and suggest areas for future improvement.