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Intelligent mobile system for improving spatial design support and security inside buildings
Please always quote using this 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.…
Author: | Janusz Będkowski, Karol Majek, Piotr Majek, Paweł Musialik, Michał Pełka, Andreas Nüchter |
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URN: | urn:nbn:de:bvb:20-opus-189597 |
Document Type: | Journal article |
Faculties: | Fakultät für Mathematik und Informatik / Institut für Informatik |
Language: | English |
Parent Title (English): | Mobile Networks and Applications |
Year of Completion: | 2016 |
Volume: | 21 |
Issue: | 2 |
Pagenumber: | 313-326 |
Source: | 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 |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik |
Tag: | 3D mapping; 3D object recognition; Intelligent mobile system; Qualitative representation and reasoning |
Release Date: | 2020/12/15 |
Licence (German): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |