Certificate in Modern Sensor Fusion: Key Insights
-- ViewingNowThe Certificate in Modern Sensor Fusion: Key Insights is a valuable course designed to equip learners with essential skills in sensor fusion, a critical area of modern technology. This program focuses on teaching key concepts and techniques, enabling professionals to understand and implement modern sensor fusion algorithms in their projects.
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โข Introduction to Sensor Fusion – Overview of modern sensor fusion technology, primary sensor fusion algorithms, and applications.
โข Inertial Measurement Units (IMUs) – Components, configurations, and error sources in MEMS-based IMUs.
โข Global Navigation Satellite Systems (GNSS) – Principles, error sources, and augmentation techniques in GNSS.
โข Computer Vision Sensors – Overview of camera technology, stereo vision, and event-based cameras.
โข Time Synchronization in Sensor Fusion – Techniques for clock synchronization, time-stamping, and latency reduction.
โข Kalman and Particle Filters – Theory, implementation, and practical use of state estimation algorithms.
โข Nonlinear Optimization and Sensor Fusion – Factor graphs, square-root methods, and optimization-based sensor fusion.
โข Machine Learning and Deep Learning in Sensor Fusion – Overview of neural networks, reinforcement learning, and their applications in sensor fusion.
โข Sensor Fusion for Autonomous Systems – Real-world applications, challenges, and case studies.
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