Approximate Nonlinear Bayesian Estimation Based on Lower and Upper Densities. - Vesa Klumpp; Dietrich Brunn; Uwe D. Hanebeck (FUSION, 2006)

The sliced Gaussian mixture filter for efficient nonlinear estimation. - Vesa Klumpp; Felix Sawo; Uwe D. Hanebeck; Dietrich Fränken (FUSION, 2008)

Nonlinear Bayesian estimation with convex sets of probability densities. - Benjamin Noack; Vesa Klumpp; Dietrich Brunn; Uwe D. Hanebeck (FUSION, 2008)

Simultaneous state and parameter estimation of distributed-parameter physical systems based on sliced Gaussian mixture filter. - Felix Sawo; Vesa Klumpp; Uwe D. Hanebeck (FUSION, 2008)

Localized Cumulative Distributions and a multivariate generalization of the Cramér-von Mises distance. - Uwe D. Hanebeck; Vesa Klumpp (MFI, 2008)

Direct fusion of Dirac mixture densities using an efficient approximation in joint state space. - Vesa Klumpp; Uwe D. Hanebeck (MFI, 2008)

Dirac mixture trees for fast suboptimal multi-dimensional density approximation. - Vesa Klumpp; Uwe D. Hanebeck (MFI, 2008)

Dirac mixture approximation of multivariate Gaussian densities. - Uwe D. Hanebeck; Marco F. Huber; Vesa Klumpp (CDC, 2009)

Extension of the Sliced Gaussian Mixture Filter with application to cooperative passive target tracking. - Julian Hörst; Felix Sawo; Vesa Klumpp; Uwe D. Hanebeck; Dietrich Fränken (FUSION, 2009)

Bayesian estimation with uncertain parameters of probability density functions. - Vesa Klumpp; Uwe D. Hanebeck (FUSION, 2009)

Nonlinear fusion of multi-dimensional densities in joint state space. - Vesa Klumpp; Uwe D. Hanebeck (FUSION, 2009)

State estimation with sets of densities considering stochastic and systematic errors. - Benjamin Noack; Vesa Klumpp; Uwe D. Hanebeck (FUSION, 2009)

Optimal dirac approximation by exploiting independencies. - Henning P. Eberhardt; Vesa Klumpp; Uwe D. Hanebeck (ACC, 2010)

A novel Bayesian method for fitting a circle to noisy points. - Marcus Baum; Vesa Klumpp; Uwe D. Hanebeck (FUSION, 2010)

Density trees for efficient nonlinear state estimation. - Henning P. Eberhardt; Vesa Klumpp; Uwe D. Hanebeck (FUSION, 2010)

The Sliced Gaussian Mixture Filter with adaptive state decomposition depending on linearization error. - Vesa Klumpp; Frederik Beutler; Uwe D. Hanebeck; Dietrich Fränken (FUSION, 2010)

Combined set-theoretic and stochastic estimation: A comparison of the SSI and the CS filter. - Vesa Klumpp; Benjamin Noack; Marcus Baum; Uwe D. Hanebeck (FUSION, 2010)

Bounding linearization errors with sets of densities in approximate Kalman filtering. - Benjamin Noack; Vesa Klumpp; Nikolay Petkov; Uwe D. Hanebeck (FUSION, 2010)

Embedded Machine Learning for Machine Condition Monitoring. - Michael Grethler; Marin B. Marinov; Vesa Klumpp (FABULOUS, 2021)

Statistical Approach for Preload Monitoring of Ball Screw Drives. - Jana Mayer; Vesa Klumpp; Jonas Hillenbrand; Benjamin Noack (SENSORS, 2023)