Reference : UAV Multilevel Swarms for Situation Management
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/27794
UAV Multilevel Swarms for Situation Management
English
Rosalie, Martin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Danoy, Grégoire mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
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]
2016
Proceedings of the 2Nd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use
ACM
DroNet '16
49--52
Yes
International
978-1-4503-4405-0
New York, NY, USA
2nd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use
from 26-06-2016 to 30-06-2016
Singapore, Singapore
[en] cooperative uav ; decisional autonomy ; mobility model ; multilevel swarm
[en] The development and usage of Unmanned Aerial Vehicles (UAVs) quickly increased in the last decades, mainly for military purposes. Nowadays, this type of technology is used in non-military contexts mainly for civil and environment protection: search & rescue teams, fire fighters, police officers, environmental scientific studies, etc. Although the technology for operating a single UAV is now mature, additional efforts are still necessary for using UAVs in fleets (or swarms).

This position paper presents the ASIMUT project (Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques). The challenges of this project consist of handling several fleets of UAVs (swarms) including communication, networking and positioning aspects. This motivates the development of novel multilevel cooperation algorithms which is an area that has not been widely explored, especially when autonomy is an additional challenge. Moreover, we will provide techniques to optimize communications for multilevel swarms. Finally, we will develop distributed and localized mobility management algorithms that will cope with conflicting objectives such as connectivity maintenance and geographical area coverage.
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.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/27794
10.1145/2935620.2935631
http://doi.acm.org/10.1145/2935620.2935631

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