Vesa Klumpp

According to our database, Vesa Klumpp authored at least 20 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Statistical Approach for Preload Monitoring of Ball Screw Drives.

Jana Mayer, Vesa Klumpp, Jonas Hillenbrand, Benjamin Noack

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2021

Embedded Machine Learning for Machine Condition Monitoring.

Michael Grethler, Marin B. Marinov, Vesa Klumpp

Proceedings of the Future Access Enablers for Ubiquitous and Intelligent Infrastructures, 2021

2010

Bounding linearization errors with sets of densities in approximate Kalman filtering.

Benjamin Noack, Vesa Klumpp, Nikolay Petkov, Uwe D. Hanebeck

Proceedings of the 13th Conference on Information 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

Proceedings of the 13th Conference on Information Fusion, 2010

The Sliced Gaussian Mixture Filter with adaptive state decomposition depending on linearization error.

Vesa Klumpp, Frederik Beutler, Uwe D. Hanebeck, Dietrich Fränken

Proceedings of the 13th Conference on Information Fusion, 2010

Density trees for efficient nonlinear state estimation.

Henning P. Eberhardt, Vesa Klumpp, Uwe D. Hanebeck

Proceedings of the 13th Conference on Information Fusion, 2010

A novel Bayesian method for fitting a circle to noisy points.

Marcus Baum, Vesa Klumpp, Uwe D. Hanebeck

Proceedings of the 13th Conference on Information Fusion, 2010

Optimal dirac approximation by exploiting independencies.

Henning P. Eberhardt, Vesa Klumpp, Uwe D. Hanebeck

Proceedings of the American Control Conference, 2010

2009

State estimation with sets of densities considering stochastic and systematic errors.

Benjamin Noack, Vesa Klumpp, Uwe D. Hanebeck

Proceedings of the 12th International Conference on Information Fusion, 2009

Nonlinear fusion of multi-dimensional densities in joint state space.

Vesa Klumpp, Uwe D. Hanebeck

Proceedings of the 12th International Conference on Information Fusion, 2009

Bayesian estimation with uncertain parameters of probability density functions.

Vesa Klumpp, Uwe D. Hanebeck

Proceedings of the 12th International Conference on Information Fusion, 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

Proceedings of the 12th International Conference on Information Fusion, 2009

Dirac mixture approximation of multivariate Gaussian densities.

Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Dirac mixture trees for fast suboptimal multi-dimensional density approximation.

Vesa Klumpp, Uwe D. Hanebeck

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

Direct fusion of Dirac mixture densities using an efficient approximation in joint state space.

Vesa Klumpp, Uwe D. Hanebeck

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

Localized Cumulative Distributions and a multivariate generalization of the Cramér-von Mises distance.

Uwe D. Hanebeck, Vesa Klumpp

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

Simultaneous state and parameter estimation of distributed-parameter physical systems based on sliced Gaussian mixture filter.

Felix Sawo, Vesa Klumpp, Uwe D. Hanebeck

Proceedings of the 11th International Conference on Information Fusion, 2008

Nonlinear Bayesian estimation with convex sets of probability densities.

Benjamin Noack, Vesa Klumpp, Dietrich Brunn, Uwe D. Hanebeck

Proceedings of the 11th International Conference on Information Fusion, 2008

The sliced Gaussian mixture filter for efficient nonlinear estimation.

Vesa Klumpp, Felix Sawo, Uwe D. Hanebeck, Dietrich Fränken

Proceedings of the 11th International Conference on Information Fusion, 2008

2006

Approximate Nonlinear Bayesian Estimation Based on Lower and Upper Densities.

Vesa Klumpp, Dietrich Brunn, Uwe D. Hanebeck

Proceedings of the 9th International Conference on Information Fusion, 2006