Concepts and ideas chapter february 2012 with 260 reads. The concept of data fusion has origins in the evolved capacity of humans and animals to incorporate information from multiple senses to improve their. An introduction which was originally published by springerverlag in 2007. This textbook is an extensively revised second edition of the authors successful book. It is an extensively revised second edition of the authors successful book. An overview of methods, challenges and prospects dana lahat, t. This extensively revised second edition is a wideranging introduction to the concepts and ideas of multisensor data fusion, illustrated with a wealth of reallife examples. The goal of this paper is to provide some ideas, perspec tives, and. Concepts and ideas provides a comprehensive introduction to the concepts and idea of multisensor data fusion. The pdf pxk k1 in the equation 1 is a prediction of the knowledge on the.
Concepts and ideas intended to be selfcontained, data fusion provides a comprehensive introduction to the concepts of multisensor data fusion. This paper summarizes the state of the data fusion field and. No previous knowledge of multisensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus, and simple probability is recommended. As a consequence, various data fusion techniques have been investigated for years, such. Level 4 and the dissemination activities of the intelligence. This textbook provides a comprehensive introduction to. Sensor data fusion methods and applications, 6th lecture. Frequently, different sources store data about the same realworld entities, however with conflicts in the values of their features. Issues and challenges in situation assessment level 2 fusion pdf. Pdf the integration of data and knowledge from several sources is known as data fusion.
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