| 書目名稱 | Search and Classification Using Multiple Autonomous Vehicles |
| 副標(biāo)題 | Decision-Making and |
| 編輯 | Yue Wang,Islam I. Hussein |
| 視頻video | http://file.papertrans.cn/864/863009/863009.mp4 |
| 概述 | Shows the reader how to undertake effective resource allocation in multiple-vehicle systems with sensing limitations and in large-scale mission domains.Detailed analysis, simulation and results demons |
| 叢書名稱 | Lecture Notes in Control and Information Sciences |
| 圖書封面 |  |
| 描述 | Search and Classification Using Multiple Autonomous Vehicles provides a comprehensive study of decision-making strategies for domain search and object classification using multiple autonomous vehicles (MAV) under both deterministic and probabilistic frameworks. It serves as a first discussion of the problem of effective resource allocation using MAV with sensing limitations, i.e., for search and classification missions over large-scale domains, or when there are far more objects to be found and classified than there are autonomous vehicles available. Under such scenarios, search and classification compete for limited sensing resources. This is because search requires vehicle mobility while classification restricts the vehicles to the vicinity of any objects found. The authors develop decision-making strategies to choose between these competing tasks and vehicle-motion-control laws to achieve the proposed management scheme. Deterministic Lyapunov-based, probabilistic Bayesian-based, and risk-based decision-making strategies and sensor-management schemes are created in sequence. Modeling and analysis include rigorous mathematical proofs of the proposed theorems and the practical cons |
| 出版日期 | Book 2012 |
| 關(guān)鍵詞 | Bayesian-Based Risk Analysis; Coverage Control; Detection and Estimation; Lyapunov Stability Analysis; M |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-2957-8 |
| isbn_softcover | 978-1-4471-2956-1 |
| isbn_ebook | 978-1-4471-2957-8Series ISSN 0170-8643 Series E-ISSN 1610-7411 |
| issn_series | 0170-8643 |
| copyright | Springer-Verlag London Ltd. 2012 |
|Archiver|手機版|小黑屋|
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