SEMAP – A Semantic Environment Mapping Framework
Henning Deeken, Thomas Wiemann, Kai Lingemann, Joachim Hertzberg
In Proceedings of the European Conference on Mobile Robots, (ECMR-15), 02.9.-04.9.2015, Lincoln, IEEE Xplore, pages 69-74, 2015. University of Lincoln. ISBN: 978-1-4673-9164-1.

Zusammenfassung (Abstract) :

This paper presents the SEMAP framework designed to maintain and analyze the spatial data of a multimodal environment model. SEMAP uses a spatial database at its core to store metric data and link it to semantic descriptions via semantic annotation. Through in-built and custom-made spatial operators of a PostGIS database, we enable the spatial analysis of quantitative metric data, which we then use in the context of semantic mapping. We use SEMAP to query for task-specific sets of spatial and semantic data, to create semantically augmented metric navigation maps, and to extract implicit topological information from geometric data.

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