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Multi-Sensor Data Fusion with MATLAB®

4 out of 5 stars 2 customer reviews
ISBN-13: 978-1439800034
ISBN-10: 1439800030
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About the Author

Jitendra R. Raol is Professor Emeritus at M S Ramaiah Institute of Technology (MSRIT) in Bangalore, India.


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Product Details

  • Hardcover: 568 pages
  • Publisher: CRC Press (December 16, 2009)
  • Language: English
  • ISBN-10: 1439800030
  • ISBN-13: 978-1439800034
  • Product Dimensions: 6 x 1.2 x 9 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #2,240,445 in Books (See Top 100 in Books)

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Top Customer Reviews

Format: Hardcover
This book is NOT what it promised.

What the authors did that each wrote a chapter or two by collecting various kalman or Kalman H-infinity based filters from published work and then copied and pasted them. They latter collected the same way, performance equations (say from IEEE papers) and put them there. Matlab is not as integrated as the cover says. Actually you can find better programs by visiting mathworks official site or by googling.

This is not a way to write a book. I expected that they will write a coherent book, which derives all results from first principles and shows how to then use them in systematic way to fuse various type of information. This is not the case. The book is collections of some equations with reference where equations were original derived in brackets (i.e. research publications) and nothing more. Every student has access to such equations on university networks (or even on Wikipedia). In fact it is collection of mostly "kalman filtering equations of various sorts" which are NOT even derived but each equations preceded by some reference from where the actual equation comes from. In fact the chapter on performance begins with numbered dot points and some simple equations given just as someone copied them and pasted them. There are no derivations of any important results. About matlab, there are only graphs of those equations.

Simple fuzzy logic (i.e. only type-1 fuzzy logic) is presented in a plain way which is available everywhere. Nonetheless some readers may like the handbook type collections of some basic likelihood fusion type results mostly based on kalman filtering framework and this may be useful for them (hence the three stars).
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Format: Hardcover Verified Purchase
The book of Dr.J.R.RAOL was awaited for researchers who deal with data fusion.It seems to complete the numerical solution gap of a series of book published by Artech House book Co.We can enumerate under examples title
1. Bar-Shalom Yaakov and Xiao-Rong Li (Eds.) Estimation and Tracking Principles,Techniques and Software 1993
2. Bar-Shalom Yaakov (Ed.) Multitarget-Multisensor Tracking Advanced Applications 1990
3. Bar-Shalom Yaakov (Ed.) Multitarget-Multisensor Tracking Applications and Advances Vol.2 1992
4. Bar-Shalom Yaakov William Dale Blair (Eds.) Multitarget-Multisensor Tracking:Applications and Advances Vol.3 2000
5. David L. Hall Mathematical Techniques in Multisensor Data Fusion
6. Richard R. Brooks S.S. Iyengar Multi-sensor Fusion Fundamental Applications and Software Prentice Hall PTR 1998
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