The students are enabled to understand technologies for Smart Sensors and Sensor Fusion.
They are familiar with the corresponding methodological framework and its applications

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Introduction into Data Fusion: Motivation and Gains
Data Fusion Levels: Alignment, Entity Assessment, Situation Assessment, Impact Assessment, Process Refinement
Data Fusion Methods: classical, Bayesian, Fuzzy, Neuronal Nets

K. Yallup, Technologies for Smart Sensors and Sensor Fusion: (Devices, Circuits, and Systems), CRC Pr Inc, 2014
J. Raol, Multi-Sensor Data Fusion with MATLAB, CRC Pr Inc, 2009

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