Search and Classification Using Multiple Autonomous Vehicles (Record no. 1720)

000 -LEADER
fixed length control field 03936nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-1-4471-2957-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20141014113447.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120330s2012 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447129578
-- 978-1-4471-2957-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4471-2957-8
Source of number or code doi
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ212-225
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.8
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Wang, Yue.
Relator term author.
245 10 - TITLE STATEMENT
Title Search and Classification Using Multiple Autonomous Vehicles
Medium [electronic resource] :
Remainder of title Decision-Making and Sensor Management /
Statement of responsibility, etc by Yue Wang, Islam I. Hussein.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London :
Name of publisher, distributor, etc Springer London,
Date of publication, distribution, etc 2012.
264 #1 -
-- London :
-- Springer London,
-- 2012.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 160p. 51 illus., 46 illus. in color.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Control and Information Sciences,
International Standard Serial Number 0170-8643 ;
Volume number/sequential designation 427
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Coverage Control -- Awareness-based Decision-making Strategy -- Bayesian-based Decision-making Strategy -- Risk-based Sequential Decision-making Strategy -- Risk-based Sensor Management for Integrated Detection and Estimation -- Conclusion and Future Work.
520 ## - SUMMARY, ETC.
Summary, etc 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 consideration of limited sensing resources and observation costs. A survey of the well-developed coverage control problem is also provided as a foundation of search algorithms within the overall decision-making strategies. Applications in both underwater sampling and space-situational awareness are investigated in detail. The control strategies proposed in each chapter are followed by illustrative simulation results and analysis. Academic researchers and graduate students from aerospace, robotics, mechanical or electrical engineering backgrounds interested in multi-agent coordination and control, in detection and estimation or in Bayes filtration will find this text of interest.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Systems theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Astronautics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Control.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Systems Theory, Control.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Robotics and Automation.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Aerospace Technology and Astronautics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hussein, Islam I.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781447129561
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Control and Information Sciences,
-- 0170-8643 ;
Volume number/sequential designation 427
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-2957-8
912 ## -
-- ZDB-2-ENG
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Books

No items available.



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