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ASIMUT project: Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques
Authore(s) : Jennifer Sander || Research.
Volume : (3), Issue : 211, February - 2019
Abstract : This document summarizes the activities and results of the ASIMUT project (Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques) carried out by the consortium composed of Thales, Fraunhofer IOSB, Fly-n-Sense, University of Bordeaux and University of Luxembourg. Funded by the European Defence Agency (EDA), the objectives of the ASIMUT project are to design, implement and validate algorithms that will allow the efficient usage of autonomous swarms of Unmanned Aerial Vehicles (UAVs) for surveillance missions.
Keywords :multilevel UAV swarm; decisional autonomy; mobility management; automatic processing and detection; high level data fusion; smart mission management.
Article: Download PDF Journal DOI : 2364/2018
Cite This Article:
MUltiUAVs, MUltilevel acquisition Techniques
Vol.I (3), Issue.I 211
Article No : 10055
Number of Downloads : 100
References :
P. Bouvry, S. Chaumette, G. Danoy, G. Guerrini, G. Jurquet, A. Kuwertz, W. M¨uller, M. Rosalie, and J. Sander. Using heterogeneous multilevel swarms of uavs and high-level data fusion to support situation management in surveillance scenarios. In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), pages 424-429. IEEE, 2016.
A. Kuwertz and J. Beyerer. Extending adaptive... More
- P. Bouvry, S. Chaumette, G. Danoy, G. Guerrini, G. Jurquet, A. Kuwertz, W. M¨uller, M. Rosalie, and J. Sander. Using heterogeneous multilevel swarms of uavs and high-level data fusion to support situation management in surveillance scenarios. In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), pages 424-429. IEEE, 2016.
- A. Kuwertz and J. Beyerer. Extending adaptive world modeling by identifying and handling insufficient knowledge models. Journal of Applied Logic, 19, Part 2:102 – 127, 2016.
- M. Rosalie, G. Danoy, P. Bouvry, and S. Chaumette. UAV Multilevel Swarms for Situation Management. In Proceedings of the 2nd ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use (DroNet’16), pages 49–52. ACM, 2016.
- M. Rosalie, G. Danoy, S. Chaumette, and P. Bouvry. From Random Process to Chaotic Behavior in Swarms of UAVs. In Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications (DIVANet’16), pages 9–15. ACM, 2016.
- B. Sauser, D. Verma, J. Ramirez-Marquez, and R. Gove. From TRL to SRL: The concept of systems readiness levels. In Conference on Systems Engineering Research, Los Angeles, CA, 2006.
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- P. Bouvry, S. Chaumette, G. Danoy, G. Guerrini, G. Jurquet, A. Kuwertz, W. M¨uller, M. Rosalie, and J. Sander. Using heterogeneous multilevel swarms of uavs and high-level data fusion to support situation management in surveillance scenarios. In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), pages 424-429. IEEE, 2016.
- A. Kuwertz and J. Beyerer. Extending adaptive world modeling by identifying and handling insufficient knowledge models. Journal of Applied Logic, 19, Part 2:102 – 127, 2016.
- M. Rosalie, G. Danoy, P. Bouvry, and S. Chaumette. UAV Multilevel Swarms for Situation Management. In Proceedings of the 2nd ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use (DroNet’16), pages 49–52. ACM, 2016.
- M. Rosalie, G. Danoy, S. Chaumette, and P. Bouvry. From Random Process to Chaotic Behavior in Swarms of UAVs. In Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications (DIVANet’16), pages 9–15. ACM, 2016.
- B. Sauser, D. Verma, J. Ramirez-Marquez, and R. Gove. From TRL to SRL: The concept of systems readiness levels. In Conference on Systems Engineering Research, Los Angeles, CA, 2006.