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.
Fusion Methods:
This learning element provides a comprehensive description of the different types of fusion methods with particular emphasis on the Bayesian Methods, the Dempster-Shafer Inference, the Abductive Reasoning and the Semantic Methods.
SFE.U4.E5.PC1
The student understands the need and purpose of the fusion methods.
SFE.U4.E5.PC2
The student is able to describe, understand and compare the different fusion methods and their particularities.
SFE.U4.E5.PC3
The student knows the different use cases of each type of fusion method.
SFE.U4.E5.PC4
The student is able to critically select and apply the right sensor fusion method according to the system dynamics and noise characteristics.
SFE.U4.E5.PC5
The student can test, evaluate, and compare different sensor fusion methods.
SFE.U4.E5.PC6
The student can develop algorithms to perceive the world around a vehicle as well as to track, detect, and identify objects and threats over time.