MOOC - Sensor Fusion Expert
Sensor Fusion In-Depth
The last unit of this job role makes a profound and detailed description of sensor fusion and provides insights on important notions and procedures when performing sensor fusion techniques.
Estimation Theory and Estimation Algorithms:
This learning element addresses the fundamental aspects of Estimation Theory and Estimation Algorithms, focusing on Static Linear Models, Static Nonlinear Models, and State Space Models.
SFE.U4.E3.PC1
The student understands and demonstrates the need, purpose, and outcomes of estimation theory.
SFE.U4.E3.PC2
The student is able to identify and explain the differences between linear, nonlinear and state space models.
SFE.U4.E3.PC3
The student knows the different use cases of each type of estimation algorithm.
SFE.U4.E3.PC4
The student is able to select the right estimation algorithm to a specific problem or situation.
SFE.U4.E3.PC5
The student can apply estimation algorithms and assess their behaviour.