Map element extraction model for pedestrian route guidance map

Authors:
T. Osaragi;S. Onozuka
Affiliations:
Dept. of Mech. & Environ. Informatics, Tokyo Inst. of Technol., Japan;Dept. of Mech. & Environ. Informatics, Tokyo Inst. of Technol., Japan
Venue:
ICCI '05 Proceedings of the Fourth IEEE International Conference on Cognitive Informatics
Year:
2005

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Modified map search engine: geographical features extraction for ranking of modified maps

Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication

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Abstract

A model that can generate compact and intelligible route guidance maps is essential for distributing efficient information on pedestrian route guidance through mobile terminals. In this research, we focus on the fact that the existing route guidance maps have been prepared by considering the characteristics of people's spatial cognition. By analyzing which roads and buildings are represented in existing maps, i.e., which map elements are important and necessary for pedestrian route guidance, we construct a model that can extract key map elements from the geographical database. The route guidance maps generated by the proposed model are shown and evaluated in comparison with the existing maps.