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- 568 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Multi-Sensor Data Fusion with MATLAB®
Book details
Table of contents
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About This Book
Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly
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Yes, you can access Multi-Sensor Data Fusion with MATLAB® by Jitendra R. Raol in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Front cover
- Contents
- Preface
- Acknowledgments
- Author
- Contributors
- Introduction
- Part I: Theory of Data Fusion and Kinematic-Level Fusion
- Chapter 1. Introduction
- Chapter 2. Concepts and Theory of Data Fusion
- Chapter 3. Strategies and Algorithms for Target Tracking and Data Fusion
- Chapter 4. Performance Evaluation of Data Fusion Systems, Software, and Tracking
- Part II: Fuzzy Logic and Decision Fusion
- Chapter 5. Introduction
- Chapter 6. Theory of Fuzzy Logic
- Chapter 7. Decision Fusion
- Chapter 8. Performance Evaluation of Fuzzy Logic-Based Decision Systems
- Part III: Pixel- and Feature-Level Image Fusion
- Chapter 9. Introduction
- Chapter 10. Pixel- and Feature-Level Image Fusion Concepts and Algorithms
- Chapter 11. Performance Evaluation of Image-Based Data Fusion Systems
- Part IV: A Brief on Data Fusion in Other Systems
- Chapter 12. Introduction: Overview of Data Fusion in Mobile Intelligent Autonomous Systems
- Chapter 13. Intelligent Monitoring and Fusion
- Appendix: Numerical, Statistical, and Estimation Methods
- Index
- Back cover