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Titel:

Augmenting and Reasoning in Semantically Enriched Maps Using Open Data

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Landsiedel, Christian; Wollherr, Dirk
Abstract:
—Complex robotic tasks require the use of knowledge that cannot be aquired with the sensor repertoire of a mobile, autonomous robot alone. For robots navigating in urban environments, geospatial open data repositories such as OpenStreetMap provide a source for auch knowledge. We propose the integration of a 3D metric environment representation with the semantic knowledge from such a data base, and describe an application where road network information fromOpenStreetMapisusedtoimproveroadgeometry...     »
Stichworte:
spatial reasoning; hybrid maps; scene understanding
Kongress- / Buchtitel:
Proceedings of the Workshop on Spatial Reasoning and Interaction for Real-World Robotics at IROS 2015
Kongress / Zusatzinformationen:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Ausrichter der Konferenz:
IEEE
Datum der Konferenz:
September 28 - October 02, 2015
Jahr:
2015
Sprache:
en
Semester:
WS 15-16
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