Course Outline

Introduction to Sensor Fusion

  • ​Sensor Fusion Overview
  • Errors in Raw Data

Multisensor Fusion Architecture

  • Architectural Taxonomy
  • Centralized vs Decentralized
  • Local vs Global Interaction
  • Hierarchy 

Fusion Methods

  • Bayesian Networks
  • Probabilistic Grids 
  • The Kalman Filter  
  • Markov chain Monte Carlo
  • Alternatives to Probability

 

 
  14 Hours
 

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Testimonials

All the examples of sensor fusion systems on the market.

Denise Bernier-Pineault, Defence Research and Development Canada

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