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  • A rising deployment of unmanned aerial vehicles in complex environment operations requires advanced coordination and planning methods. We address the problem of multi-UAV-based area surveillance and collision avoidance. The surveillance problem contains non-linear components and non-linear constraints which makes the optimization problem a hard one. We propose discretization of the problem based on the definition of the points of interest and time steps to reduce its complexity. The objective function integrates both the area surveillance and collision avoidance sub-problems. The optimization task is solved using a probability collection solver that allows to distribute computation of the optimization. We have implemented the probability collective solver as a multi-agent simulation. The results show the approach can be used for this problem.
  • A rising deployment of unmanned aerial vehicles in complex environment operations requires advanced coordination and planning methods. We address the problem of multi-UAV-based area surveillance and collision avoidance. The surveillance problem contains non-linear components and non-linear constraints which makes the optimization problem a hard one. We propose discretization of the problem based on the definition of the points of interest and time steps to reduce its complexity. The objective function integrates both the area surveillance and collision avoidance sub-problems. The optimization task is solved using a probability collection solver that allows to distribute computation of the optimization. We have implemented the probability collective solver as a multi-agent simulation. The results show the approach can be used for this problem. (en)
Title
  • Surveillance of Unmanned Aerial Vehicles Using Probability Collectives
  • Surveillance of Unmanned Aerial Vehicles Using Probability Collectives (en)
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  • Surveillance of Unmanned Aerial Vehicles Using Probability Collectives
  • Surveillance of Unmanned Aerial Vehicles Using Probability Collectives (en)
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  • RIV/68407700:21230/11:00185597!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • Z(MSM6840770038)
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  • 233528
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  • RIV/68407700:21230/11:00185597
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  • Surveillance; Collision Avoidance; Probability Collectives; Multi-Agent Systems (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8740BB7AE7EC]
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  • Toulouse
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  • Berlin
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  • Proceedings of the 5th International Conference on Industrial Applications of Holonic and Multi-agent Systems for Manufacturing
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  • Pěchouček, Michal
  • Volf, Přemysl
  • Šišlák, David
  • Pavlíček, Dušan
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http://linked.open.../riv/zahajeniAkce
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number of pages
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  • 10.1007/978-3-642-23181-0_23
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-23180-3
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  • 21230
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