| 000 | 03155nam a22003495i 4500 | ||
|---|---|---|---|
| 001 | 102747 | ||
| 003 | DE-He213 | ||
| 005 | 20230102113057.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170803s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319636047 | ||
| 024 | 7 |
_a10.1007/978-3-319-63604-7 _2doi |
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| 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 |
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| 300 | _a1 recurso en línea (IX, 238 páginas 116 ilustraciones, 53 ilustraciones a color) | ||
| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aStudies in Computational Intelligence _x1860-949X _v729 |
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| 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 |
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| 700 | 1 |
_aBruckstein, Alfred M _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/18822366/ |
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| 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 |
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| 999 |
_c102747 _d102747 _x1 |
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