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Course Outline
Introduction to Sensor Fusion
- Overview of Sensor Fusion
- Errors in Raw Data
Multisensor Fusion Architecture
- Architectural Taxonomy
- Centralized vs Decentralized Approaches
- Local vs Global Interaction
- Hierarchy
Fusion Methods
- Bayesian Networks
- Probabilistic Grids
- The Kalman Filter
- Markov Chain Monte Carlo
- Alternatives to Probability
14 Hours
