4. Magneto-inertial EKF with covariance matrix adaptation by Q-Learning
It was mentioned at the start of this article that AI is playing an increasingly important role in improving state estimation performance. In chapter 3 , the aim was to extend the observation vector from an ML learning procedure, and thus improve the observability of the system (addition of pseudo-velocity measurements). In this chapter, we will focus on another problem of estimation in EKFs....
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Magneto-inertial EKF with covariance matrix adaptation by Q-Learning
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