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Sensor Fusion: Foundation and Applications – Ciza Thomas, 266 Pages
Sensor Fusion - Foundation and Applications comprehensively covers the foundation and applications of sensor fusion. This book provides some novel ideas, theories, and solutions related to the research areas in the field of sensor fusion. The book explores some of the latest practices and research works in the area of sensor fusion. The book contains chapters with different methods of sensor fusion for different engineering as well as non-engineering applications. Advanced applications of sensor fusion in the areas of mobile robots, automatic vehicles, airborne threats, agriculture, medical field and intrusion detection are covered in this book. Sufficient evidences and analyses have been provided in the chapter to show the effectiveness of sensor fusion in various applications. This book would serve as an invaluable reference for professionals involved in various applications of sensor fusion.This book as its name suggests deals with the principles and applications of sensor fusion. Sensor fusion is an important technology, with a very fast growth due to its tremendous application potential in many areas. It is a method of integrating information from several different sources into a unified interpretation that extracts intelligible and more meaningful information. In many cases the source of information are sensors that allow for perception or measurement of changing environment. Variety of techniques, architectures, levels, etc. of sensor fusion enables to bring solutions in various areas of diverse disciplines. Sensor fusion techniques can be applied to various applications mainly on the data, feature and the decision levels. The function at data level can be spectral data mining using the digital signal processing techniques, or the data adaptation using the coordinate transforms/ unit adjustments or the estimation of parameters using the Kalman filtering/ batch estimation. The function at the feature level is mainly classification using Pattern Recognition/ Fuzzy Logic/ Neural Networks. The function at the decision level is the decide action using Expert Systems/ Artificial Intelligence. This book contains chapters with different methods of sensor fusion for different engineering as well as nonengineering applications. Sufficient evidences and analyses have been provided in the chapters to show the effectiveness of sensor fusion in various applications. This book provides some novel ideas, theories, and solutions related to the latest practices and research works in the field of sensor fusion. Advanced applications of sensor fusion in the areas of mobile robots, automatic vehicles, airborne threats, agriculture, medical field and intrusion detection are covered in this book.
This book will be of interest to researchers, who need to process and interpret the sensor data in most of the scientific and engineering field. The book provides some projections for the future of sensor fusion are provided along with an assessment of the state-of-the-art and state-of-practice. Hence, this book is intended to serve as a reference guide in the field of sensor fusion applications. This book will be useful to system architects, engineers, scientists, managers, designers, military operations personnel, and other users of sensor fusion for target detection, classification, identification, and tracking. The chapters in this book provide the foundation on sensor fusion, introducing a particular sensor fusion application, process models, and identification of applicable techniques. The materials presented concentrate upon conceptual issues, problem formulation, computerized problem solution, and results interpretation in various applications of sensor fusion. Solution algorithms will be treated only to the extent necessary to interpret solutions and overview events that may occur during the solution process. A general background in electrical/ electronic engineering, mathematics, or statistics is necessary for a better understanding of the concepts presented in the individual chapters. The readers will benefit by enhancing their understanding of the sensor fusion principles, algorithms, and architectures along with the practical application of modern sensors and sensor fusion.
| Nguồn | : Internet |
| Tác giả | : Ciza Thomas |
| Kiểu tập tin | |
| Độ lớn tập tin | : 22MB |
| Đăng bởi | : Thanh Ngoc |
| Cập nhật | : 26.11.2011 |
| Số lượt xem | : 206 |
| Số lượt tải | : 4 |
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