| 書目名稱 | Multi-Sensor Data Fusion |
| 副標題 | An Introduction |
| 編輯 | H.B. Mitchell |
| 視頻video | http://file.papertrans.cn/641/640015/640015.mp4 |
| 概述 | Self-contained, easy accessible introduction to multi-sensor data fusion for graduate students and researchers.Well-organized modern approach to theories and techniques, includes numerous case studies |
| 圖書封面 |  |
| 描述 | 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. |
| 出版日期 | Book 20071st edition |
| 關鍵詞 | Bayesian inference; Bayesion Probabilistic Framework; Computer Vision; Data Fusion; Multi Sensor Data Fu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-71559-7 |
| isbn_ebook | 978-3-540-71559-7 |
| copyright | Springer-Verlag Berlin Heidelberg 2007 |
|Archiver|手機版|小黑屋|
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