Swarms and Network Intelligence in Search (Studies in Computational Intelligence)
暫譯: 搜尋中的群體與網絡智慧（計算智能研究）

Yaniv Altshuler, Alex Pentland, Alfred M. Bruckstein

Swarms and Network Intelligence in Search (Studies in Computational Intelligence)
  • 出版商: Springer
  • 出版日期: 2017-08-11
  • 售價: $7,160
  • 貴賓價: 9.5 折 $6,802
  • 語言: 英文
  • 頁數: 238
  • 裝訂: Hardcover
  • ISBN: 3319636022
  • ISBN-13: 9783319636023

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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. 

商品描述(中文翻譯)

這本書提供了對於設計協作巡邏無人機（UAV）群體所需的理論和工具的全面分析，重點在於其在戰術情報無人機中的應用。它討論了用於穩健且近似最佳地分析半自主車輛群體的框架，這些車輛旨在有效地執行持續的動態巡邏和掃描預定的「搜索區域」。書中探討了這些系統的理論限制，以及系統各種經濟和操作參數之間的權衡。

目前的無人機系統主要依賴人類操作員來設計和調整無人機的飛行路徑。然而，最近的技術進步引入了新系統，這些系統由少量自組織的車輛組成，並由人類操作員在群體層面手動引導。

隨著這種人類監督架構的複雜性不斷增加，保證預定性能水平變得越來越困難。因此，將大規模的無人機群體用作作戰和偵察平台，必須開發一種有效的優化機制，以便在設計和維護其巡邏路徑時進行有效利用。

本書旨在為群體系統和自主無人機領域的研究人員和工程師提供參考。

類似商品