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Intelligent mobile system for improving spatial design support and security inside buildings

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-189597
  • This paper concerns the an intelligent mobile application for spatial design support and security domain. Mobility has two aspects in our research: The first one is the usage of mobile robots for 3D mapping of urban areas and for performing some specific tasks. The second mobility aspect is related with a novel Software as a Service system that allows access to robotic functionalities and data over the Ethernet, thus we demonstrate the use of the novel NVIDIA GRID technology allowing to virtualize the graphic processing unit. We introduceThis paper concerns the an intelligent mobile application for spatial design support and security domain. Mobility has two aspects in our research: The first one is the usage of mobile robots for 3D mapping of urban areas and for performing some specific tasks. The second mobility aspect is related with a novel Software as a Service system that allows access to robotic functionalities and data over the Ethernet, thus we demonstrate the use of the novel NVIDIA GRID technology allowing to virtualize the graphic processing unit. We introduce Complex Shape Histogram, a core component of our artificial intelligence engine, used for classifying 3D point clouds with a Support Vector Machine. We use Complex Shape Histograms also for loop closing detection in the simultaneous localization and mapping algorithm. Our intelligent mobile system is built on top of the Qualitative Spatio-Temporal Representation and Reasoning framework. This framework defines an ontology and a semantic model, which are used for building the intelligent mobile user interfaces. We show experiments demonstrating advantages of our approach. In addition, we test our prototypes in the field after the end-user case studies demonstrating a relevant contribution for future intelligent mobile systems that merge mobile robots with novel data centers.zeige mehrzeige weniger

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Autor(en): Janusz Będkowski, Karol Majek, Piotr Majek, Paweł Musialik, Michał Pełka, Andreas Nüchter
URN:urn:nbn:de:bvb:20-opus-189597
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Fakultät für Mathematik und Informatik / Institut für Informatik
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Mobile Networks and Applications
Erscheinungsjahr:2016
Band / Jahrgang:21
Heft / Ausgabe:2
Seitenangabe:313-326
Originalveröffentlichung / Quelle:Mobile Networks and Applications (2016) 21:2, S. 313-326. https://doi.org/10.1007/s11036-015-0654-8
DOI:https://doi.org/10.1007/s11036-015-0654-8
Allgemeine fachliche Zuordnung (DDC-Klassifikation):5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Freie Schlagwort(e):3D mapping; 3D object recognition; Intelligent mobile system; Qualitative representation and reasoning
Datum der Freischaltung:15.12.2020
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International