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Search and Classification Using Multiple Autonomous Vehicles
Wang, Yue; Hussein, Islam I.
€ 65.80
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Description for Search and Classification Using Multiple Autonomous Vehicles
Paperback. This book is a comprehensive study of decision-making strategies for domain search and object classification using multiple autonomous vehicles (MAVs) under both deterministic and probabilistic frameworks. It provides detailed analysis, simulation and results. Series: Lecture Notes in Control and Information Sciences. Num Pages: 176 pages, 5 black & white illustrations, 46 colour illustrations, biography. BIC Classification: GPFC; TJFM1; TRP. Category: (P) Professional & Vocational. Dimension: 236 x 155 x 11. Weight in Grams: 280.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer London Ltd United Kingdom
Number of pages
176
Condition
New
Series
Lecture Notes in Control and Information Sciences
Number of Pages
160
Place of Publication
England, United Kingdom
ISBN
9781447129561
SKU
V9781447129561
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Wang, Yue; Hussein, Islam I.
Yue Wang's research areas include decision-making and sensor management for search, classification and tracking using multiple autonomous vehicles, distributed estimation and control of networked cyber-physical systems, and dynamic coverage control over large-scale domains. She got her Ph.D. degree in Mechanical Engineering at Worcester Polytechnic Institute in May 2011. She is currently a postdoctoral research associate in the Electrical Engineering Department ... Read more
Reviews for Search and Classification Using Multiple Autonomous Vehicles
From the reviews: “In the present book, real-time, decision-making strategies are investigated for domain search and object classification using multiple autonomous vehicle systems under limited sensory resources. … The book may serve as a tool for students, scientists and engineers from academia and industry experienced in these attractive areas. It can be also a source for courses, which can ... Read more