Tracking And Sensor Data Fusion

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Tracking And Sensor Data Fusion

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Author : Wolfgang Koch
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-20

Tracking And Sensor Data Fusion written by Wolfgang Koch 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 2013-09-20 with Technology & Engineering categories.

Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved. Typically, this insight is either unobtainable otherwise or a fusion result exceeds what can be produced from a single sensor output in accuracy, reliability, or cost. This book provides an introduction Sensor Data Fusion, as an information technology as well as a branch of engineering science and informatics. Part I presents a coherent methodological framework, thus providing the prerequisites for discussing selected applications in Part II of the book. The presentation mirrors the author's views on the subject and emphasizes his own contributions to the development of particular aspects. With some delay, Sensor Data Fusion is likely to develop along lines similar to the evolution of another modern key technology whose origin is in the military domain, the Internet. It is the author's firm conviction that until now, scientists and engineers have only scratched the surface of the vast range of opportunities for research, engineering, and product development that still waits to be explored: the Internet of the Sensors.

Data Fusion Concepts And Ideas

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Author : H B Mitchell
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-09

Data Fusion Concepts And Ideas 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 2012-02-09 with Technology & Engineering categories.

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. The main changes in the new book are: New Material: Apart from one new chapter there are approximately 30 new sections, 50 new examples and 100 new references. At the same time, material which is out-of-date has been eliminated and the remaining text has been rewritten for added clarity. Altogether, the new book is nearly 70 pages longer than the original book. Matlab code: Where appropriate we have given details of Matlab code which may be downloaded from the worldwide web. In a few places, where such code is not readily available, we have included Matlab code in the body of the text. Layout. The layout and typography has been revised. Examples and Matlab code nowappear on a gray background for easy identification and advancd material is marked with an asterisk. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability is recommended. Although conceptually simple, the study of mult-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. To become competent in the field the student must become familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory. All too often, the student views multi-sensor data fusion as a miscellaneous assortment of different processes which bear no relationship to each other. In contrast, in this book the processes are unified by using a common statisticalframework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references.

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.

The purpose of this book is to provide an introduction to the theories and techniques of multi-sensor data fusion. The book has been designed as a text for a one-semester graduate course in multi-sensor data fusion. It should also be useful to advanced undergraduates in electrical engineering or computer science who are studying data fusion for the ?rst time and to practising en- neers who wish to apply the concepts of data fusion to practical applications. The book is intended to be largely self-contained in so far as the subject of multi-sensor data fusion is concerned, although some prior exposure to the subject may be helpful to the reader. A clear understanding of multi-sensor data fusion can only be achieved with the use of a certain minimum level of mathematics.Itisthereforeassumedthatthereaderhasareasonableworking knowledge of the basic tools of linear algebra, calculus and simple probability theory. More speci?c results and techniques which are required are explained in the body of the book or in appendices which are appended to the end of the book.

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.

Multi Sensor Multi Target Data Fusion Tracking And Identification Techniques For Guidance And Control Applications

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Author :
language : en
Publisher:
Release Date : 1996

Multi Sensor Multi Target Data Fusion Tracking And Identification Techniques For Guidance And Control Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Guided missiles categories.

Resumé på fransk.

Investigations On Target Tracking And Classification Using Multiple Sensor Data Fusion Task Ii

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Author :
language : en
Publisher:
Release Date : 1992

Investigations On Target Tracking And Classification Using Multiple Sensor Data Fusion Task Ii written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.

The goal of this report is to conduct an exhaustive formal literature survey on multisensor data fusion and use the results to conduct performance analyses of the following sensor data fusion subjects: sensor data association & fusion architectures; data association; data fusion; data alignment or registration; target attribute estimation & fusion; application of artificial intelligence techniques; target state estimation analysis; and target model (type of maneuver) identification analysis. The different analysis approaches published in the surveyed literature are identified for each of the above subjects, and relative merits and trade-offs between these approaches are evaluated. The analyses focus on those approaches which could be pertinent to a naval platform employing dissimilar and non-imaging sensors. Includes glossary.

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.

Sensor Data Fusion And Integration Of The Human Element

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Author :
language : en
Publisher:
Release Date : 1999

Sensor Data Fusion And Integration Of The Human Element written by 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.

Multisensor Multisource Information Fusion Architectures Algorithms And Applications

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Author :
language : en
Publisher:
Release Date : 2005

Multisensor Multisource Information Fusion Architectures Algorithms And Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computer algorithms categories.

Analysis Of Tracking And Identification Characteristics Of Diverse Systems And Data Sources For Sensor Fusion

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Author : Dean A. Wilson
language : en
Publisher:
Release Date : 2001-06

Analysis Of Tracking And Identification Characteristics Of Diverse Systems And Data Sources For Sensor Fusion written by Dean A. Wilson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06 with categories.

In the Command and Control mission, new technologies such as 'sensor fusion' are designed to help reduce operator workload and increase situational awareness. This thesis explored the tracking characteristics of diverse sensors and sources of data and their contributions to a fused tactical picture. The fundamental building blocks of any sensor fusion algorithm are the tracking algorithm associated with each of the sensors on the sensor platform. In support of this study the MATLAB program 'fusim' was written to provide acquisition managers a tool for evaluating tracking and sensor fusion algorithms. The fusim program gives the user flexibility in selecting: sensor platforms up to four sensors associated with that platform, the target types the problem orientation and the tracking algorithms to be used with the sensors. The fusim program was used to compare tracking algorithms in a multiple sensor/multiple target environment. Specifically, the Probabilistic Data Association Filter the Interacting Multiple Models Filter the Kalman Filter and the Constant Gain Kalman Filter were evaluated against multiple maneuvering non- maneuvering, and fixed targets. It is recommended that this study be continued to evaluate advanced tracking and data association techniques to expand the program to allow attribute tracking and identification and to study the Human-Machine Interface aspects of sensor fusion.