书目名称 | Tracking and Sensor Data Fusion |
副标题 | Methodological Frame |
编辑 | Wolfgang Koch |
视频video | http://file.papertrans.cn/928/927376/927376.mp4 |
概述 | Provides a self-contained, unified introduction to Bayesian sensor data fusion.Covers comprehensively methodological aspects not covered by other textbooks.Discusses advanced application examples from |
丛书名称 | Mathematical Engineering |
图书封面 |  |
描述 | .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 sti |
出版日期 | Book 2014 |
关键词 | Context Information; Sensor Data Fusion; Sensor Management; Sensor Modeling; Target Tracking |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-39271-9 |
isbn_softcover | 978-3-662-52016-1 |
isbn_ebook | 978-3-642-39271-9Series ISSN 2192-4732 Series E-ISSN 2192-4740 |
issn_series | 2192-4732 |
copyright | Springer Verlag Berlin Heidelberg 2014 |