This paper summarizes the state of the data fusion field and. Data fusion is the process of integrating multiple data sources to produce more consistent. The goal of this paper is to provide some ideas, perspec tives, and. An overview of methods, challenges and prospects dana lahat, t. Prediction is the prior target state pdf for the next time step. It is an extensively revised second edition of the authors successful book. This textbook is an extensively revised second edition of the authors successful book. An introduction which was originally published by springerverlag in 2007. Frequently, different sources store data about the same realworld entities, however with conflicts in the values of their features. Pdf the integration of data and knowledge from several sources is known as data fusion. The concept of data fusion has origins in the evolved capacity of humans and animals to incorporate information from multiple senses to improve their. The book is selfcontained and no previous knowledge of multisensor data fusion is.
These basic ideas are transferable to many types of problems. Comprehensive introduction to the concepts and idea of multisensor data fusion. A fundamental concept in the dempstershafer reason. Join carl frischmuth for an indepth discussion in this video, exercise files, part of fusion 360 product design. 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. Level 4 and the dissemination activities of the intelligence. The pdf pxk k1 in the equation 1 is a prediction of the knowledge on the. Sensor data fusion methods and applications, 6th lecture.
Issues and challenges in situation assessment level 2 fusion pdf. This concept will be given a more concrete meaning in. Instead, and building upon 8 14, 16, 152, 163, 164 and others, we wish to provide a deeper and broader understanding of the concepts and ideas that underlie data fusion. This textbook provides a comprehensive introduction to. This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. Introduction to sensor data fusion methods and applications. Concepts and ideas chapter february 2012 with 260 reads. Concepts and ideas provides a comprehensive introduction to the concepts and idea of multisensor data fusion. 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.