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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
Testimonials (3)
knowledge, exemplary training
Krzysztof Kantorski - Santander
Machine Translated
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
It's a hands-on session.