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Variations in the ambient magnetic field can be used as features in indoor positioning and navigation. We describe a technique for map matching where the pedestrian movement is matched to a map of the magnetic landscape. The map matching algorithm is based on a particle filter, a recursive Monte Carlo method, and follows the classical terrain matching framework used in aircraft positioning and navigation...
Gaussian process-based machine learning is a powerful Bayesian paradigm for nonparametric nonlinear regression and classification. In this article, we discuss connections of Gaussian process regression with Kalman filtering and present methods for converting spatiotemporal Gaussian process regression problems into infinite-dimensional state-space models. This formulation allows for use of computationally...
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