Reference : Using Heterogeneous Multilevel Swarms of UAVs and High-Level Data Fusion to Support S...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/28474
Using Heterogeneous Multilevel Swarms of UAVs and High-Level Data Fusion to Support Situation Management in Surveillance Scenarios
English
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Chaumette, Serge mailto [University of Bordeaux > LaBRI]
Danoy, Grégoire mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Guerrini, Gilles mailto [Thales Airborne System, Pessac, France]
Jurquet, Gilles mailto [Thales Airborne System, Pessac, France]
Kuwertz, Achim mailto [Fraunhofer IOSB, Karlsruhe, Germany]
Müller, Wilmuth mailto [Fraunhofer IOSB, Karlsruhe, Germany]
Rosalie, Martin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sander, Jennifer mailto [Fraunhofer IOSB, Karlsruhe, Germany]
19-Sep-2016
2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016
Yes
International
2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016
from 19-09-2016 to 21-09-2016
[en] The development and usage of Unmanned Aerial Vehicles (UAVs) quickly increased in the last decades, mainly for military purposes. This technology is also now of high interest in non-military contexts like logistics, environmental studies and different areas of civil protection. While the technology for operating a single UAV is rather mature, additional efforts are still necessary for using UAVs in fleets (or swarms). The Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques (ASIMUT) project which is supported by the European Defence Agency (EDA) aims at investigating and demonstrating dedicated surveillance services based on fleets of UAVs. The aim is to enhance the situation awareness of an operator and to decrease his workload by providing support for the detection of threats based on multi-sensor multi-source data fusion. The operator is also supported by the combination of information delivered by the heterogeneous swarms of UAVs and by additional information extracted from intelligence databases. As a result, a distributed surveillance system increasing detection, high-level data fusion capabilities and UAV autonomy is proposed.
The authors acknowledge the support of the ASIMUT project A-1341-RT-GP, which is coordinated by the European Defence Agency (EDA) and partially funded by 8 contributing Members (Austria, France, Germany, Italy, Luxembourg, The Netherlands, Poland and Sweden) in the framework of the Joint Investment Programme on Innovative Concepts and Emerging Technologies 2. The ASIMUT project consortium is composed of Thales, Fraunhofer IOSB, Fly-n-Sense, University of Bordeaux and University of Luxembourg.
http://hdl.handle.net/10993/28474

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