Multi-Sensor Data Fusion with MATLAB by Jitendra R. Raol
Fusing sensors’ data can lead to numerous benefits in a system’s performance. Through real-world examples and the evaluation of algorithmic results, this detailed book provides an understanding of MSDF concepts and methods from a practical point of view.
Table of Contents
Theory of Data Fusion and Kinematic-Level Fusion, J.R. Raol, G. Girija, and N. Shanthakumar
Concepts and Theory of Data Fusion
Strategies and Algorithms for Target Tracking and Data Fusion
Performance Evaluation of Data Fusion Systems, Software, and Tracking
Fuzzy Logic and Decision Fusion, J.R. Raol and S.K. Kashyap
Theory of Fuzzy Logic
Performance Evaluation of Fuzzy Logic-Based Decision Systems
Pixel and Feature-Level Image Fusion, J.R. Raol and V.P.S. Naidu
Pixel- and Feature-Level Image Fusion Concepts and Algorithms
Performance Evaluation of Image-Based Data Fusion Systems
A Brief on Data Fusion in Other Systems, Ajith Gopal and Simukai Utete
Introduction: Overview of Data Fusion in Mobile Intelligent Autonomous Systems
Intelligent Monitoring and Fusion
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