Sensor Data Fusion (ILV)
Back| Specialization Area | Sensor Systems |
| Course number | M2.05285.32.811 |
| Course code | |
| Curriculum | 2016 |
| Semester of degree program | Semester 3 |
| Mode of delivery | Presencecourse |
| Units per week | 1,5 |
| ECTS credits | 2,0 |
| Language of instruction | English |
The students are enabled to understand technologies for Smart Sensors and Sensor Fusion.
They are familiar with the corresponding methodological framework and its applications
No data available
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
No data available
No data available
