Scalable magnetic field mapping and localization using Gaussian process regression

Research output: Thesis › Dissertation (TU Delft)

19 Downloads (Pure)

Abstract

This thesis scales methods for Gaussian process-based magnetic field mapping and localization
in five distinct ways.

Original language	English
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Kok, M., Promotor Helmons, R.L.J., Promotor
Award date	25 Nov 2024
DOIs	https://doi.org/10.4233/uuid:56c9e70c-3847-4931-b3fa-a72de6f11602
Publication status	Published - 2024

@phdthesis{56c9e70c38474931b3faa72de6f11602,

title = "Scalable magnetic field mapping and localization using Gaussian process regression",

abstract = "This thesis scales methods for Gaussian process-based magnetic field mapping and localizationin five distinct ways.",

author = "F.M. Viset",

year = "2024",

doi = "10.4233/uuid:56c9e70c-3847-4931-b3fa-a72de6f11602",

language = "English",

type = "Dissertation (TU Delft)",

school = "Delft University of Technology",

}

TY - THES

T1 - Scalable magnetic field mapping and localization using Gaussian process regression

AU - Viset, F.M.

PY - 2024

Y1 - 2024

N2 - This thesis scales methods for Gaussian process-based magnetic field mapping and localizationin five distinct ways.

AB - This thesis scales methods for Gaussian process-based magnetic field mapping and localizationin five distinct ways.

U2 - 10.4233/uuid:56c9e70c-3847-4931-b3fa-a72de6f11602

DO - 10.4233/uuid:56c9e70c-3847-4931-b3fa-a72de6f11602

M3 - Dissertation (TU Delft)

ER -