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Statistical Sensor Fusion


Statistical Sensor Fusion
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Statistical Sensor Fusion


Statistical Sensor Fusion
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Author : Fredrik Gustafsson
language : en
Publisher:
Release Date : 2010

Statistical Sensor Fusion written by Fredrik Gustafsson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Algoritmer / sao categories.


Sensor fusion deals with Merging information from two or more sensors. Elsewhere the area of statistical signal processing provides a powerful toolbox to attack bothering theoretical and practical problems. The objective of this book is to explain state of the art theory and algorithms into statistical sensor fusion, covering estimation, detection and non-linear filtering theory with applications to localisation, navigation and tracking problems. The book starts with a review of the theory on linear and non-linear estimation, with a focus on sensor network applications. Then, general non-linear filter theory is surveyed with a Particular attention to Different variants of the Kalman filter and the particle filter. Complexity and implementation issues are discussed in detail. Simultaneous localisation and mapping (SLAM) is distressed as a challenging application area of high-dimensional non-linear filtering problems. The book spans the whole range from mathematical foundations provided in Extensive Appendices, to real-world problems the covered in a party surveying standard sensors, motion models and applications in this field. All models and algorithms are available as object-oriented Matlab code with an Extensive data file library, and the examples, Which are richly distressed to illustrate the theory, are supplemented by fully reproducible Matlab code.



Statistical Sensor Fusion


Statistical Sensor Fusion
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Author : Christian Lundquist
language : en
Publisher:
Release Date : 2015-04-02

Statistical Sensor Fusion written by Christian Lundquist and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-02 with categories.




Statistical Sensor Fusion


Statistical Sensor Fusion
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Author : Fredrik Gustafsson
language : en
Publisher: Studentlitteratur AB
Release Date : 2012-04-03

Statistical Sensor Fusion written by Fredrik Gustafsson and has been published by Studentlitteratur AB this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-03 with categories.


Sensor fusion deals with merging information from two or more sensors, where the area of statistical signal processing provides a powerful tool­box to attack both theoretical and practical problems.



Multi Sensor Data Fusion


Multi Sensor Data Fusion
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Author : H.B. Mitchell
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-13

Multi Sensor Data Fusion written by H.B. Mitchell and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-13 with Technology & Engineering categories.


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.



Data Fusion In Wireless Sensor Networks


Data Fusion In Wireless Sensor Networks
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Author : Domenico Ciuonzo
language : en
Publisher: Institution of Engineering and Technology
Release Date : 2019-03-11

Data Fusion In Wireless Sensor Networks written by Domenico Ciuonzo and has been published by Institution of Engineering and Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-11 with Technology & Engineering categories.


The role of data fusion has been expanding in recent years through the incorporation of pervasive applications, where the physical infrastructure is coupled with information and communication technologies, such as wireless sensor networks for the internet of things (IoT), e-health and Industry 4.0. In this edited reference, the authors provide advanced tools for the design, analysis and implementation of inference algorithms in wireless sensor networks.



Multi Sensor Image Fusion And Its Applications


Multi Sensor Image Fusion And Its Applications
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Author : Rick S. Blum
language : en
Publisher: CRC Press
Release Date : 2018-10-03

Multi Sensor Image Fusion And Its Applications written by Rick S. Blum and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.


Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation. Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.



Statistical Sensor Fusion Paket


Statistical Sensor Fusion Paket
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Author : Fredrik Gustafsson
language : en
Publisher:
Release Date : 2018

Statistical Sensor Fusion Paket written by Fredrik Gustafsson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.




Advances In Statistical Multisource Multitarget Information Fusion


Advances In Statistical Multisource Multitarget Information Fusion
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Author : Ronald P.S. Mahler
language : en
Publisher: Artech House
Release Date : 2014-08-01

Advances In Statistical Multisource Multitarget Information Fusion written by Ronald P.S. Mahler and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-01 with Technology & Engineering categories.


This is the sequel to the 2007 Artech House bestselling title, Statistical Multisource-Multitarget Information Fusion. That earlier book was a comprehensive resource for an in-depth understanding of finite-set statistics (FISST), a unified, systematic, and Bayesian approach to information fusion. The cardinalized probability hypothesis density (CPHD) filter, which was first systematically described in the earlier book, has since become a standard multitarget detection and tracking technique, especially in research and development. Since 2007, FISST has inspired a considerable amount of research, conducted in more than a dozen nations, and reported in nearly a thousand publications. This sequel addresses the most intriguing practical and theoretical advances in FISST, for the first time aggregating and systematizing them into a coherent, integrated, and deep-dive picture. Special emphasis is given to computationally fast exact closed-form implementation approaches. The book also includes the first complete and systematic description of RFS-based sensor/platform management and situation assessment.