Verwandte Artikel zu Swarms and Network Intelligence in Search (Studies...

Swarms and Network Intelligence in Search (Studies in Computational Intelligence, 729, Band 729) - Hardcover

Buch 239 von 538: Studies in Computational Intelligence

Altshuler, Yaniv; Pentland, Alex; Bruckstein, Alfred M.

 
9783319636023: Swarms and Network Intelligence in Search (Studies in Computational Intelligence, 729, Band 729)
Hardcover
ISBN 10: 3319636022 ISBN 13: 9783319636023
Verlag: Springer, 2017

Inhaltsangabe

This 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 o
f 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. 

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

This 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. 

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3319636022
ISBN 13 
9783319636023
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
247
Kontakt zum Hersteller
GPSR Kontakt
ProductSafety@springernature.com

Slevogtstraße 3-5
Heidelberg
69126
Deutschland