SEMAP - A semantic environment mapping framework
| Autor(en): | Deeken, H. Wiemann, T. Lingemann, K. Hertzberg, J. |
Stichwörter: | Data models; Data structures; Database systems; Mapping; Mobile robots; Query languages; Query processing; Robot sensing system; Robot sensing systems; Robots; Semantic annotations; Semantic descriptions; Semantics; Semantics, Environment modeling; Solid model; Solid modeling; Spatial database; Spatial databases; Three-dimensional display; Three-dimensional displays; Topological information, Spatial variables measurement | Erscheinungsdatum: | 2015 | Herausgeber: | Institute of Electrical and Electronics Engineers Inc. | Journal: | 2015 European Conference on Mobile Robots, ECMR 2015 - Proceedings | Zusammenfassung: | This paper presents the SEMAP framework designed to maintain and analyze the spatial data of a multi-modal 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. © 2015 IEEE. |
Beschreibung: | Conference of European Conference on Mobile Robots, ECMR 2015 ; Conference Date: 2 September 2015 Through 4 September 2015; Conference Code:118603 |
ISBN: | 9781467391634 | DOI: | 10.1109/ECMR.2015.7324176 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962308846&doi=10.1109%2fECMR.2015.7324176&partnerID=40&md5=c017d6bab48d9f0b29d0d45343ad20b9 |
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