Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering & Applied Signal Processing Series)

If you're interested or are in the information fusion field you must have this book.Expanded from the 1st edition, this book keeps and enhances the chapters in the first book, yet adds many important new ones, especially in the pragmatic implementation of information fusion. You must read the chapter by Dr. Steinberg on fusion applications. I've used this book and its predecessor as reference material for my dissertation! This is very useful reading and it is a wonderful broad compilation written by the who's who in the fusion community.You can't say you're in the fusion field unless you own this book!!!

Useful collection of papers on data fusion. It's not a textbook, and each chapter is written by a different group of authors, but the chapters cover a lot of ground and can be helpful if you're looking for strategies and ideas for implementing a data fusion project.

The book has many contributors, explaining numerous aspects of the theory of data sensors. Several chapters go into the computational maths of analysing the data feeds. A key idea is data fusion, where you take the feeds from several sensors, in order to have more successful decision making. The redundancy of data can also be a useful check on the reliability of the decisions.Bayesian methods also figure prominently in some discussions, when you have to work backwards from your data to infer the existence and movement of an originating object.The reader should have a strong background in statistics.Mostly the book shies away from talking about specific sensors; it's deliberately not meant to be a survey of products in this field.