1 citations · 3 across the 5 of their papers we have counts for
5 papers
Adaptive Basis Function Selection for Computationally Efficient Predictions
Anton Kullberg, Frida Viset, Isaac Skog +1
Basis Function (BF) expansions are a cornerstone of any engineer's toolbox for computational function approximation which shares connections with both neural networks and Gaussian…
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices
Frida Viset, Anton Kullberg, Frederiek Wesel +1
The Hilbert-space Gaussian Process (HGP) approach offers a hyperparameter-independent basis function approximation for speeding up Gaussian Process (GP) inference by projecting the…
Distributed multi-agent magnetic field norm SLAM with Gaussian processes
Frida Viset, Rudy Helmons, Manon Kok
Accurately estimating the positions of multi-agent systems in indoor environments is challenging due to the lack of Global Navigation Satelite System (GNSS) signals. Noisy measurem…
Spatially scalable recursive estimation of Gaussian process terrain maps using local basis functions
Frida Marie Viset, Rudy Helmons, Manon Kok
When an agent, person, vehicle or robot is moving through an unknown environment without GNSS signals, online mapping of nonlinear terrains can be used to improve position estimate…
Indoor SLAM Using a Foot-mounted IMU and the local Magnetic Field
Mostafa Osman, Frida Viset, Manon Kok
In this paper, a simultaneous localization and mapping (SLAM) algorithm for tracking the motion of a pedestrian with a foot-mounted inertial measurement unit (IMU) is proposed. The…