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Descrizione libro Condizione: New. Codice articolo 29683541-n
Descrizione libro Hardcover. Condizione: new. Codice articolo 9783319636023
Descrizione libro Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Codice articolo ria9783319636023_lsuk
Descrizione libro Condizione: New. Codice articolo ABLIING23Mar3113020101949
Descrizione libro Condizione: New. Codice articolo 29683541-n
Descrizione libro Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 248 pp. Englisch. Codice articolo 9783319636023
Descrizione libro Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 tac. Codice articolo 150828024
Descrizione libro Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783319636023
Descrizione libro Hardcover. Condizione: Brand New. 238 pages. 9.25x6.25x0.75 inches. In Stock. Codice articolo x-3319636022
Descrizione libro Condizione: New. 2017. Hardcover. . . . . . Codice articolo V9783319636023