2013 Workshop On Sensor Data Fusion
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2013 Workshop On Sensor Data Fusion
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2013-10-09
2013 Workshop On Sensor Data Fusion written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-09 with categories.
2012 Workshop On Sensor Data Fusion Trends Solutions Applications Sdf
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2012
2012 Workshop On Sensor Data Fusion Trends Solutions Applications Sdf written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
8th Workshop On Sensor Data Fusion
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Author : Institute of Electrical and Electronics Engineers
language : en
Publisher:
Release Date : 2013
8th Workshop On Sensor Data Fusion written by Institute of Electrical and Electronics Engineers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Multisensor data fusion categories.
Sensor Data Fusion And Integration Of The Human Element
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Author : Symposium on Sensor Data Fusion and Integration of the Human Element
language : en
Publisher:
Release Date : 1999
Sensor Data Fusion And Integration Of The Human Element written by Symposium on Sensor Data Fusion and Integration of the Human Element and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Human engineering categories.
Sensor And Data Fusion Concepts And Applications
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Author : Lawrence A. Klein
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 1999
Sensor And Data Fusion Concepts And Applications written by Lawrence A. Klein and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Technology & Engineering categories.
First published in 1993, this Tutorial Text has been revised and updated to provide explanations and examples of data fusion algorithms in areas not covered in the first edition. These include Bayesian inference, artificial neural networks and fuzzy logic. All of the chapters in the first edition have been revised and updated and new material is included on the FASCODE and MODTRAN atmospheric models, and EOSAEL, which analyzes physical processes that affect the performance of millimeter-wave and IR sensors.
Multi Sensor Data Fusion With Matlab
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Author : Jitendra R. Raol
language : en
Publisher: CRC Press
Release Date : 2009-12-16
Multi Sensor Data Fusion With Matlab written by Jitendra R. Raol and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-16 with Technology & Engineering categories.
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
2017 Symposium On Sensor Data Fusion Trends Solutions Applications Sdf
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Author :
language : en
Publisher:
Release Date :
2017 Symposium On Sensor Data Fusion Trends Solutions Applications Sdf written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Multisensor data fusion categories.
Sensor And Data Fusion
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Author : Lawrence A. Klein
language : en
Publisher: SPIE Press
Release Date : 2004
Sensor And Data Fusion written by Lawrence A. Klein and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Technology & Engineering categories.
This book illustrates the benefits of sensor fusion by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance. Applications that benefit from this technology include: vehicular traffic management, remote sensing, target classification and tracking- weather forecasting- military and homeland defense. Covering data fusion algorithms in detail, Klein includes a summary of the information required to implement each of the algorithms discussed, and outlines system application scenarios that may limit sensor size but that require high resolution data.
Multisensor Data Fusion
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Author : David Hall
language : en
Publisher: CRC Press
Release Date : 2001-06-20
Multisensor Data Fusion written by David Hall and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-20 with Technology & Engineering categories.
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
Multisensor Data Fusion
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Author : Hassen Fourati
language : en
Publisher: CRC Press
Release Date : 2017-12-19
Multisensor Data Fusion written by Hassen Fourati and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Technology & Engineering categories.
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.