activity
20152023
most citedUsing Inertial Sensors for Position and Orientation Estimation

346 citations · 656 across the 19 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.RO2023

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…

stat.ML2023

Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression

Thomas Edridge, Manon Kok

Ferromagnetic materials in indoor environments give rise to disturbances in the ambient magnetic field. Maps of these magnetic disturbances can be used for indoor localisation. A G…

stat.ML2023★ 1 cited

Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression

Clara Menzen, Marnix Fetter, Manon Kok

We present a mapping algorithm to compute large-scale magnetic field maps in indoor environments with approximate Gaussian process (GP) regression. Mapping the spatial variations i…

cs.RO2023★ 11 cited

Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping

Manon Kok, Arno Solin, Thomas B. Schön

Simultaneous localization and mapping (SLAM) is the task of building a map representation of an unknown environment while at the same time using it for positioning. A probabilistic…

eess.SP2023

Tightly Integrated Motion Classification and State Estimation in Foot-Mounted Navigation Systems

Isaac Skog, Gustaf Hendeby, Manon Kok

A framework for tightly integrated motion mode classification and state estimation in motion-constrained inertial navigation systems is presented. The framework uses a jump Markov…