Sensor and Data Fusion - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Sensor and Data Fusion write by Lawrence A. Klein. This book was released on 2004. Sensor and Data Fusion available in PDF, EPUB and Kindle. 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.
Tracking and Sensor Data Fusion
Tracking and Sensor Data Fusion - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Tracking and Sensor Data Fusion write by Wolfgang Koch. This book was released on 2013-09-20. Tracking and Sensor Data Fusion available in PDF, EPUB and Kindle. 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
Data Fusion: Concepts and Ideas - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Fusion: Concepts and Ideas write by H B Mitchell. This book was released on 2012-02-09. Data Fusion: Concepts and Ideas available in PDF, EPUB and Kindle. 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 now appear 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 statistical framework. 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
Multi-Sensor Data Fusion - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multi-Sensor Data Fusion write by H.B. Mitchell. This book was released on 2007-07-13. Multi-Sensor Data Fusion available in PDF, EPUB and Kindle. 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.
Mathematical Techniques in Multisensor Data Fusion
Mathematical Techniques in Multisensor Data Fusion - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Techniques in Multisensor Data Fusion write by David Lee Hall. This book was released on 2004. Mathematical Techniques in Multisensor Data Fusion available in PDF, EPUB and Kindle. 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.
