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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Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

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