Get in Touch

Course Outline

Introduction to Sensor Fusion

  • Overview of Sensor Fusion
  • Handling Errors in Raw Data

Architecture for Multisensor Fusion

  • Architectural Classification
  • Centralized versus Decentralized Approaches
  • Local versus Global Interaction Models
  • Hierarchical Structures

Fusion Techniques

  • Bayesian Networks
  • Probabilistic Grids
  • The Kalman Filter
  • Markov chain Monte Carlo
  • Alternatives to Probabilistic Methods
 14 Hours

Number of participants


Price per participant

Upcoming Courses

Related Categories