Multi sensor data fusion with matlab written for scientists and researchers this book 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 level and feature level image fusion using real world examples and the evaluation of algorithmic . Using matlab r 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. Using matlab r 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. 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. Reference examples provide a starting point for multi object tracking and sensor fusion development for surveillance and autonomous systems including airborne spaceborne ground based shipborne and underwater systems you can fuse data from real world sensors including active and passive radar sonar lidar eo ir imu and gps