Vision and tactile sensing for real world tasks. - Danica Kragic; S. Crinier; Dietrich Brunn; Henrik I. Christensen (ICRA, 2003)

A Model-Based Framework for Optimal Measurements in Machine Tool Calibration. - Dietrich Brunn; Uwe D. Hanebeck (ICRA, 2005)

Nonlinear Multidimensional Bayesian Estimation with Fourier Densities. - Dietrich Brunn; Felix Sawo; Uwe D. Hanebeck (CDC, 2006)

Density Approximation Based on Dirac Mixtures with Regard to Nonlinear Estimation and Filtering. - Oliver C. Schrempf; Dietrich Brunn; Uwe D. Hanebeck (CDC, 2006)

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

Parameterized Joint Densities with Gaussian and Gaussian Mixture Marginals. - Felix Sawo; Dietrich Brunn; Uwe D. Hanebeck (FUSION, 2006)

Efficient Nonlinear Bayesian Estimation based on Fourier Densities. - Dietrich Brunn; Felix Sawo; Uwe D. Hanebeck (MFI, 2006)

Finite-Horizon Optimal State-Feedback Control of Nonlinear Stochastic Systems Based on a Minimum Principle. - Marc Peter Deisenroth; Toshiyuki Ohtsuka; Florian Weissel; Dietrich Brunn; Uwe D. Hanebeck (MFI, 2006)

Closed-Form Prediction of Nonlinear Dynamic Systems by Means of Gaussian Mixture Approximation of the Transition Density. - Marco F. Huber; Dietrich Brunn; Uwe D. Hanebeck (MFI, 2006)

Dirac Mixture Density Approximation Based on Minimization of the Weighted Cramer-von Mises Distance. - Oliver C. Schrempf; Dietrich Brunn; Uwe D. Hanebeck (MFI, 2006)

Efficient Nonlinear Measurement Updating based on Gaussian Mixture Approximation of Conditional Densities. - Marco F. Huber; Dietrich Brunn; Uwe D. Hanebeck (ACC, 2007)

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

Performance comparison of nonlinear filters for indoor WLAN positioning. - Hui Wang; Andrei Szabo; Joachim Bamberger; Dietrich Brunn; Uwe D. Hanebeck (FUSION, 2008)