2 citations · 3 across the 4 of their papers we have counts for
4 papers
Tensor Decompositions for Online Grid-Based Terrain-Aided Navigation
J. Matoušek, J. Krejčí, J. Duník +1
This paper presents a practical and scalable grid-based state estimation method for high-dimensional models with invertible linear dynamics and with highly non-linear measurements,…
Lagrangian Grid-based Estimation of Nonlinear Systems with Invertible Dynamics
Jindřich Duník, Jan Krejčí, Jakub Matoušek +2
This paper deals with the state estimation of non-linear and non-Gaussian systems with an emphasis on the numerical solution to the Bayesian recursive relations. In particular, thi…
Revisiting Functional Derivatives in Multi-object Tracking
Jan Krejčí, Ondřej Straka, Petr Girg +1
Probability generating functionals (PGFLs) are efficient and powerful tools for tracking independent objects in clutter. It was shown that PGFLs could be used for the elegant deriv…
Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model
Jan Krejčí, Oliver Kost, Ondřej Straka +1
A first-principle single-object model is proposed for pedestrian tracking. It is assumed that the extent of the moving object can be described via known statistics in 3D, such as p…