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Sensor Fusion: Architectures, Algorithms and Applications
Short course
In Bedfordshire ()
Description
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Type
Short course
Therefore, this course focuses on fundamental understanding, demonstration, and applications of basic and advanced estimation theories, multiple sensor fusion techniques, and their architectures, algorithms, and applications. This should enable you to critically select and design appropriate estimation and multiple sensor fusion techniques to your specific problems depending on the types of sensor systems and noise characteristics of sensors.
Reviews
Subjects
- Algorithms
- Design
Course programme
What you will learn
The aim of this course is to acquaint you with the basic principles of estimation theory, and critically understand the pros and cons of filtering and fusion theories when applied to the problem of sensor fusion.
On successful completion, you will be able to:
- Demonstrate the nature, purpose, and design procedures of estimation theory and sensor fusion
- Critically understand challenging problems in the conventional estimation and sensor fusion approaches
- Critically select and apply an appropriate filtering technique and sensor fusion method to a specific problem depending on the types of system/sensor dynamics and noise characteristics.
Sensor Fusion: Architectures, Algorithms and Applications