Abstract

Navigation systems are widely used today. These systems usually provide turn-by-turn origin-to-destination navigation instructions via visual and audio guidance. Whereas the systems most of the times work successfully, experiments have shown that users have problems in developing survey knowledge of the environment they passed through. This is due to the fact that users simply follow the instructions, without actively mentally mapping their current location in respect to the environment. The research presented in this paper aims at enriching conventional routing instructions with additional information (survey knowledge), which puts the route into the general spatial context and thus facilitates the building up of the users’ mental map of the environment. In this paper, first investigations are presented in terms exploring two different data sources for enrichment, namely topographic and VGI data. A taxonomy of relevant features and relations is given, and methods for their automatic extraction and evaluation are described.

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