Sensor Fusion Training Courses
Sensor fusion is software that intelligently combines data from several sensors for the purpose of improving application or system performance.
Sensor Fusion Course Outlines
|sfa||Sensor Fusion Algorithms||14 hours||Sensor Fusion is the combination and integration of data from multiple sensors to provide a more accurate, reliable and contextual view of data. Sensor Fusion implementations require algorithms to filter and integrate different data sources. Audience This course is targeted at engineers, programmers and architects who deal with multi-sensor implementations. 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|
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