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020 _a9783319636047
024 7 _a10.1007/978-3-319-63604-7
_2doi
050 4 _aQ337.3
_bA487 2018 EB
100 1 _aAltshuler, Yaniv
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/nb2012025638
_1http://viaf.org/viaf/266054685/
245 1 0 _aSwarms and Network Intelligence in Search
_cby Yaniv Altshuler, Alex Pentland, Alfred M. Bruckstein.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (IX, 238 páginas 116 ilustraciones, 53 ilustraciones a color)
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v729
520 3 _aThis book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined "search regions". It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems' various economic and operational parameters. Current UAV systems rely mainly on human operators for the design and adaptation of drones' flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator. With the growing complexity of such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes. The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones. .
650 7 _Inteligencia artificial
650 7 _aRobótica
_2embne
_9160676
700 1 _aPentland, Alex
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/17369952/
_1http://dbpedia.org/resource/Alex_Pentland
700 1 _aBruckstein, Alfred M
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/18822366/
776 0 8 _iEdición impresa:
_z9783319636023
776 0 8 _iEdición impresa:
_z9783319636030
776 0 8 _iEdición impresa:
_z9783319875910
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-63604-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b01/2019
_dz
_ep
_feng
_ggw
_h0
999 _c102747
_d102747
_x1