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Found 6 papers, 0 papers with code
Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model
A first-principle single-object model is proposed for pedestrian tracking.
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering
In this paper we present a hybrid neural network augmented physics-based modeling (APBM) framework for Bayesian nonlinear latent space estimation.
Expectation-Maximization Algorithm for Identification of Mesh-based Compartment Thermal Model of Power Modules
Recently, we have proposed a linear time invariant state-space thermal model based on a compartment representation and its identification procedure that is based on the Expectation-Maximization algorithm from incomplete temperature data.
Improved Calibration of Numerical Integration Error in Sigma-Point Filters
The sigma-point filters, such as the UKF, which exploit numerical quadrature to obtain an additional order of accuracy in the moment transformation step, are popular alternatives to the ubiquitous EKF.
Student-t Process Quadratures for Filtering of Non-Linear Systems with Heavy-Tailed Noise
Advantage of the Student- t process quadrature over the traditional Gaussian process quadrature, is that the integral variance depends also on the function values, allowing for a more robust modelling of the integration error.
Gaussian Process Quadrature Moment Transform
Computation of moments of transformed random variables is a problem appearing in many engineering applications.
