Multisensor Fusion Estimation Theory And Application

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Multisensor Fusion Estimation Theory and Application

Author : Liping Yan
Publisher : Springer Nature
ISBN 13 : 9811594260
Total Pages : 229 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Multisensor Fusion Estimation Theory and Application by : Liping Yan

Download or read book Multisensor Fusion Estimation Theory and Application written by Liping Yan and published by Springer Nature. This book was released on 2020-11-11 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc.

Multisensor Decision And Estimation Fusion

Author : Yunmin Zhu
Publisher : Taylor & Francis US
ISBN 13 : 9781402072581
Total Pages : 266 pages
Book Rating : 4.0/5 (725 download)

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Book Synopsis Multisensor Decision And Estimation Fusion by : Yunmin Zhu

Download or read book Multisensor Decision And Estimation Fusion written by Yunmin Zhu and published by Taylor & Francis US. This book was released on 2003 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: YUNMIN ZHU In the past two decades, multi sensor or multi-source information fusion tech niques have attracted more and more attention in practice, where observations are processed in a distributed manner and decisions or estimates are made at the individual processors, and processed data (or compressed observations) are then transmitted to a fusion center where the final global decision or estimate is made. A system with multiple distributed sensors has many advantages over one with a single sensor. These include an increase in the capability, reliability, robustness and survivability of the system. Distributed decision or estimation fusion prob lems for cases with statistically independent observations or observation noises have received significant attention (see Varshney's book Distributed Detec tion and Data Fusion, New York: Springer-Verlag, 1997, Bar-Shalom's book Multitarget-Multisensor Tracking: Advanced Applications, vol. 1-3, Artech House, 1990, 1992,2000). Problems with statistically dependent observations or observation noises are more difficult and have received much less study. In practice, however, one often sees decision or estimation fusion problems with statistically dependent observations or observation noises. For instance, when several sensors are used to detect a random signal in the presence of observation noise, the sensor observations could not be statistically independent when the signal is present. This book provides a more complete treatment of the fundamentals of multi sensor decision and estimation fusion in order to deal with general random ob servations or observation noises that are correlated across the sensors.

Multisensor Attitude Estimation

Author : Hassen Fourati
Publisher : CRC Press
ISBN 13 : 1498745806
Total Pages : 607 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Multisensor Attitude Estimation by : Hassen Fourati

Download or read book Multisensor Attitude Estimation written by Hassen Fourati and published by CRC Press. This book was released on 2016-11-03 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been an increasing interest in multi-disciplinary research on multisensor attitude estimation technology driven by its versatility and diverse areas of application, such as sensor networks, robotics, navigation, video, biomedicine, etc. Attitude estimation consists of the determination of rigid bodies’ orientation in 3D space. This research area is a multilevel, multifaceted process handling the automatic association, correlation, estimation, and combination of data and information from several sources. Data fusion for attitude estimation is motivated by several issues and problems, such as data imperfection, data multi-modality, data dimensionality, processing framework, etc. While many of these problems have been identified and heavily investigated, no single data fusion algorithm is capable of addressing all the aforementioned challenges. The variety of methods in the literature focus on a subset of these issues to solve, which would be determined based on the application in hand. Historically, the problem of attitude estimation has been introduced by Grace Wahba in 1965 within the estimate of satellite attitude and aerospace applications. This book intends to provide the reader with both a generic and comprehensive view of contemporary data fusion methodologies for attitude estimation, as well as the most recent researches and novel advances on multisensor attitude estimation task. It explores the design of algorithms and architectures, benefits, and challenging aspects, as well as a broad array of disciplines, including: navigation, robotics, biomedicine, motion analysis, etc. A number of issues that make data fusion for attitude estimation a challenging task, and which will be discussed through the different chapters of the book, are related to: 1) The nature of sensors and information sources (accelerometer, gyroscope, magnetometer, GPS, inclinometer, etc.); 2) The computational ability at the sensors; 3) The theoretical developments and convergence proofs; 4) The system architecture, computational resources, fusion level.

Multisensor Data Fusion

Author : Hassen Fourati
Publisher : CRC Press
ISBN 13 : 1351830880
Total Pages : 628 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Multisensor Data Fusion by : Hassen Fourati

Download or read book Multisensor Data Fusion written by Hassen Fourati and published by CRC Press. This book was released on 2017-12-19 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Multi-Sensor Data Fusion

Author : H.B. Mitchell
Publisher : Springer Science & Business Media
ISBN 13 : 3540715592
Total Pages : 281 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Multi-Sensor Data Fusion by : H.B. Mitchell

Download or read book Multi-Sensor Data Fusion written by H.B. Mitchell and published by Springer Science & Business Media. This book was released on 2007-07-13 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.

Multi-Sensor Information Fusion

Author : Xue-Bo Jin
Publisher : MDPI
ISBN 13 : 3039283022
Total Pages : 602 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Multi-Sensor Information Fusion by : Xue-Bo Jin

Download or read book Multi-Sensor Information Fusion written by Xue-Bo Jin and published by MDPI. This book was released on 2020-03-23 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.

Mathematical Techniques in Multisensor Data Fusion

Author : David Lee Hall
Publisher : Artech House
ISBN 13 : 9781580533355
Total Pages : 470 pages
Book Rating : 4.5/5 (333 download)

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Book Synopsis Mathematical Techniques in Multisensor Data Fusion by : David Lee Hall

Download or read book Mathematical Techniques in Multisensor Data Fusion written by David Lee Hall and published by Artech House. This book was released on 2004 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the first edition of this book, advances in algorithms, logic and software tools have transformed the field of data fusion. The latest edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis and data system fusion control. data fusion system, this book guides you through the process of determining the trade-offs among competing data fusion algorithms, selecting commercial off-the-shelf (COTS) tools, and understanding when data fusion improves systems processing. Completely new chapters in this second edition explain data fusion system control, DARPA's recently developed TRIP model, and the latest applications of data fusion in data warehousing and medical equipment, as well as defence systems.

Multisensor Data Fusion

Author : David Hall
Publisher : CRC Press
ISBN 13 : 1420038540
Total Pages : 564 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Multisensor Data Fusion by : David Hall

Download or read book Multisensor Data Fusion written by David Hall and published by CRC Press. This book was released on 2001-06-20 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut

Multi-Sensor Data Fusion with MATLAB

Author : Jitendra R. Raol
Publisher : CRC Press
ISBN 13 : 1439800057
Total Pages : 570 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Multi-Sensor Data Fusion with MATLAB by : Jitendra R. Raol

Download or read book Multi-Sensor Data Fusion with MATLAB written by Jitendra R. Raol and published by CRC Press. This book was released on 2009-12-16 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly

Advances in Multi-Sensor Information Fusion: Theory and Applications 2017

Author : Xue-Bo Jin
Publisher : MDPI
ISBN 13 : 3038429333
Total Pages : 569 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Advances in Multi-Sensor Information Fusion: Theory and Applications 2017 by : Xue-Bo Jin

Download or read book Advances in Multi-Sensor Information Fusion: Theory and Applications 2017 written by Xue-Bo Jin and published by MDPI. This book was released on 2018-06-26 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors

Springer Handbook of Robotics

Author : Bruno Siciliano
Publisher : Springer
ISBN 13 : 3319325523
Total Pages : 2259 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Springer Handbook of Robotics by : Bruno Siciliano

Download or read book Springer Handbook of Robotics written by Bruno Siciliano and published by Springer. This book was released on 2016-07-27 with total page 2259 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this handbook provides a state-of-the-art overview on the various aspects in the rapidly developing field of robotics. Reaching for the human frontier, robotics is vigorously engaged in the growing challenges of new emerging domains. Interacting, exploring, and working with humans, the new generation of robots will increasingly touch people and their lives. The credible prospect of practical robots among humans is the result of the scientific endeavour of a half a century of robotic developments that established robotics as a modern scientific discipline. The ongoing vibrant expansion and strong growth of the field during the last decade has fueled this second edition of the Springer Handbook of Robotics. The first edition of the handbook soon became a landmark in robotics publishing and won the American Association of Publishers PROSE Award for Excellence in Physical Sciences & Mathematics as well as the organization’s Award for Engineering & Technology. The second edition of the handbook, edited by two internationally renowned scientists with the support of an outstanding team of seven part editors and more than 200 authors, continues to be an authoritative reference for robotics researchers, newcomers to the field, and scholars from related disciplines. The contents have been restructured to achieve four main objectives: the enlargement of foundational topics for robotics, the enlightenment of design of various types of robotic systems, the extension of the treatment on robots moving in the environment, and the enrichment of advanced robotics applications. Further to an extensive update, fifteen new chapters have been introduced on emerging topics, and a new generation of authors have joined the handbook’s team. A novel addition to the second edition is a comprehensive collection of multimedia references to more than 700 videos, which bring valuable insight into the contents. The videos can be viewed directly augmented into the text with a smartphone or tablet using a unique and specially designed app. Springer Handbook of Robotics Multimedia Extension Portal: http://handbookofrobotics.org/

Networked Multisensor Decision and Estimation Fusion

Author : Yunmin Zhu
Publisher : CRC Press
ISBN 13 : 1466576006
Total Pages : 442 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Networked Multisensor Decision and Estimation Fusion by : Yunmin Zhu

Download or read book Networked Multisensor Decision and Estimation Fusion written by Yunmin Zhu and published by CRC Press. This book was released on 2012-07-05 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the increased capability, reliability, robustness, and survivability of systems with multiple distributed sensors, multi-source information fusion has become a crucial technique in a growing number of areas-including sensor networks, space technology, air traffic control, military engineering, agriculture and environmental engineering, and i

Multisensor Fusion

Author : Rajive Joshi
Publisher : World Scientific
ISBN 13 : 9789810238803
Total Pages : 340 pages
Book Rating : 4.2/5 (388 download)

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Book Synopsis Multisensor Fusion by : Rajive Joshi

Download or read book Multisensor Fusion written by Rajive Joshi and published by World Scientific. This book was released on 1999 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fusion of information from sensors with different physical characteristics, such as sight, touch, sound, etc., enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines. The minimal representation approach to multisensor fusion is based on the use of an information measure as a universal yardstick for fusion. Using models of sensor uncertainty, the representation size guides the integration of widely varying types of data and maximizes the information contributed to a consistent interpretation. In this book, the general theory of minimal representation multisensor fusion is developed and applied in a series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to this difficult computational problem.

Sensor Fusion and its Applications

Author : Ciza Thomas
Publisher : BoD – Books on Demand
ISBN 13 : 953307101X
Total Pages : 498 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Sensor Fusion and its Applications by : Ciza Thomas

Download or read book Sensor Fusion and its Applications written by Ciza Thomas and published by BoD – Books on Demand. This book was released on 2010-08-16 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explore the latest practices and research works in the area of sensor fusion. The book intends to provide a collection of novel ideas, theories, and solutions related to the research areas in the field of sensor fusion. This book is a unique, comprehensive, and up-to-date resource for sensor fusion systems designers. This book is appropriate for use as an upper division undergraduate or graduate level text book. It should also be of interest to researchers, who need to process and interpret the sensor data in most scientific and engineering fields. The initial chapters in this book provide a general overview of sensor fusion. The later chapters focus mostly on the applications of sensor fusion. Much of this work has been published in refereed journals and conference proceedings and these papers have been modified and edited for content and style. With contributions from the world's leading fusion researchers and academicians, this book has 22 chapters covering the fundamental theory and cutting-edge developments that are driving this field.

Distributed Fusion Estimation for Sensor Networks with Communication Constraints

Author : Wen-An Zhang
Publisher : Springer
ISBN 13 : 9811007950
Total Pages : 219 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Distributed Fusion Estimation for Sensor Networks with Communication Constraints by : Wen-An Zhang

Download or read book Distributed Fusion Estimation for Sensor Networks with Communication Constraints written by Wen-An Zhang and published by Springer. This book was released on 2016-05-27 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically presents energy-efficient robust fusion estimation methods to achieve thorough and comprehensive results in the context of network-based fusion estimation. It summarizes recent findings on fusion estimation with communication constraints; several novel energy-efficient and robust design methods for dealing with energy constraints and network-induced uncertainties are presented, such as delays, packet losses, and asynchronous information... All the results are presented as algorithms, which are convenient for practical applications.

Data Fusion Mathematics

Author : Jitendra R. Raol
Publisher : CRC Press
ISBN 13 : 1498721028
Total Pages : 572 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Data Fusion Mathematics by : Jitendra R. Raol

Download or read book Data Fusion Mathematics written by Jitendra R. Raol and published by CRC Press. This book was released on 2015-08-27 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fills the Existing Gap of Mathematics for Data FusionData fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required intelligently, using artificial intelligence (AI). Also, known as sensor data fusion (SDF), the DF fusion system is an important component for use in va

Multisensor Fusion

Author : Anthony K. Hyder
Publisher : Springer Science & Business Media
ISBN 13 : 9401005567
Total Pages : 929 pages
Book Rating : 4.4/5 (1 download)

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Book Synopsis Multisensor Fusion by : Anthony K. Hyder

Download or read book Multisensor Fusion written by Anthony K. Hyder and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 929 pages. Available in PDF, EPUB and Kindle. Book excerpt: For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.