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Sensor Fusion: Architectures, Algorithms and Applications

Short course

In Bedfordshire ()

Price on request

Description

  • 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.

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Subjects

  • Algorithms
  • Design

Course programme

Course structure A five-day course consisting of lectures, case studies, and lab sessions on estimation and fusion algorithms. Matlab will be used during lab sessions. All delegates will receive a Certificate of Attendance at the end of the course.
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

Price on request