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Modeling and interpolation of the ambient magnetic field by Gaussian processes

15 September 2015

Arno Solin

Simo Särkkä

Papers citing "Modeling and interpolation of the ambient magnetic field by Gaussian processes"

44 / 44 papers shown

Title
Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks Jaemin Seo Geunsik Bae H. Oh 58 0 0 09 Feb 2025
Gaussian Process Priors for Boundary Value Problems of Linear Partial Differential Equations Jianle iHuang Marc Härkönen Markus Lange-Hegermann Bogdan Raiță 89 0 0 25 Nov 2024
IDF-MFL: Infrastructure-free and Drift-free Magnetic Field Localization for Mobile Robot Hongming Shen Zhenyu Wu Wei Wang Qiyang Lyu Huiqin Zhou Danwei W. Wang 57 1 0 09 Nov 2024
Physics-Informed Variational State-Space Gaussian Processes Oliver Hamelijnck Arno Solin Theodoros Damoulas 57 1 0 20 Sep 2024
Enhancing Visual Inertial SLAM with Magnetic Measurements Bharat Joshi Ioannis Rekleitis 41 2 0 16 Sep 2024
Tensor network square root Kalman filter for online Gaussian process regression Clara Menzen Manon Kok Kim Batselier 28 0 0 05 Sep 2024
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices Frida Viset Anton Kullberg Frederiek Wesel Arno Solin 104 0 0 05 Aug 2024
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory I. Kavrakov Gledson Rodrigo Tondo Guido Morgenthal AI4CE 119 1 0 21 May 2024
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression Clara Menzen Marnix Fetter Manon Kok 52 1 0 25 Oct 2023
A spectrum of physics-informed Gaussian processes for regression in engineering E. Cross T. Rogers D. J. Pitchforth S. Gibson Matthew R. Jones 54 9 0 19 Sep 2023
Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping Manon Kok Arno Solin Thomas B. Schon 43 6 0 06 Jun 2023
Memory-Based Dual Gaussian Processes for Sequential Learning Paul E. Chang Prakhar Verma S. T. John Arno Solin Mohammad Emtiyaz Khan GP 93 8 0 06 Jun 2023
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents Renato Berlinghieri Brian L. Trippe David R. Burt Ryan Giordano K. Srinivasan Tamay Ozgokmen Junfei Xia Tamara Broderick 63 10 0 20 Feb 2023
Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression Prince Kuevor Maani Ghaffari E. Atkins J. Cutler 34 3 0 31 Jan 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients Marc Härkönen Markus Lange-Hegermann Bogdan Raiță 133 16 0 29 Dec 2022
The Lifebelt Particle Filter for robust estimation from low-valued count data Alice Corbella T. McKinley Paul J. Birrell A. Presanis S. Spencer Gareth O. Roberts Daniela De Angelis 35 1 0 08 Dec 2022
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations Andreas Besginow Markus Lange-Hegermann 75 11 0 26 Aug 2022
Disintegration of Gaussian Measures for Sequential Assimilation of Linear Operator Data Cédric Travelletti D. Ginsbourger 67 6 0 27 Jul 2022
Physics-informed machine learning for Structural Health Monitoring E. Cross S. Gibson M. R. Jones D. J. Pitchforth S. Zhang T. Rogers AI4CE 102 36 0 30 Jun 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation Sebastian Ament Carla P. Gomes 62 9 0 16 Jun 2022
Optimal Multi-robot Formations for Relative Pose Estimation Using Range Measurements C. C. Cossette Mohamed Fouad Shalaby David Saussié Jérôme Le Ny James R. Forbes 86 19 0 27 May 2022
On boundary conditions parametrized by analytic functions Markus Lange-Hegermann D. Robertz 54 5 0 06 May 2022
Indoor SLAM Using a Foot-mounted IMU and the local Magnetic Field Mostafa Osman Frida Marie Viset Manon Kok 63 6 0 29 Mar 2022
Magnetic Field Prediction Using Generative Adversarial Networks Stefan Pollok Nataniel Olden-Jorgensen P. S. Jørgensen Rasmus Bjørk GAN AI4CE 41 21 0 14 Mar 2022
Incorporating Sum Constraints into Multitask Gaussian Processes Philipp Pilar Carl Jidling Thomas B. Schon Niklas Wahlström TPM 44 3 0 03 Feb 2022
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors Cédric Travelletti D. Ginsbourger N. Linde 55 4 0 08 Sep 2021
Efficient methods for Gaussian Markov random fields under sparse linear constraints David Bolin J. Wallin 39 4 0 03 Jun 2021
Hierarchical Non-Stationary Temporal Gaussian Processes With $L^1$ -Regularization Zheng Zhao Rui Gao Simo Särkkä 46 0 0 20 May 2021
Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments Sachini Herath Saghar Irandoust Bowen Chen Yiming Qian Pyojin Kim Yasutaka Furukawa 37 17 0 18 May 2021
Grey-box models for wave loading prediction D. J. Pitchforth T. Rogers U. T. Tygesen E. Cross 38 33 0 10 May 2021
High-Dimensional Gaussian Process Inference with Derivatives Filip de Roos A. Gessner Philipp Hennig GP 56 17 0 15 Feb 2021
GP-SLAM+: real-time 3D lidar SLAM based on improved regionalized Gaussian process map reconstruction Jianyuan Ruan Bo Li Yingqiang Wang Zhou Fang GP 46 12 0 03 Aug 2020
Matérn Gaussian processes on Riemannian manifolds Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 126 123 0 17 Jun 2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges L. Swiler Mamikon A. Gulian A. Frankel Cosmin Safta J. Jakeman GP AI4CE 104 106 0 16 Jun 2020
Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization You Li Xin Hu Y. Zhuang Zhouzheng Gao Peng Zhang N. El-Sheimy OffRL 59 81 0 09 Apr 2020
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives Emmanouil Angelis Philippe Wenk Bernhard Schölkopf Stefan Bauer Andreas Krause BDL 64 3 0 05 Mar 2020
Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps Manon Kok Arno Solin 51 68 0 05 Apr 2018
Learning unknown ODE models with Gaussian processes Markus Heinonen Çağatay Yıldız Henrik Mannerstrom Jukka Intosalmi Harri Lähdesmäki 55 94 0 12 Mar 2018
Drift-Free Indoor Navigation Using Simultaneous Localization and Mapping of the Ambient Heterogeneous Magnetic Field Jacky C. K. Chow 22 5 0 17 Feb 2018
Algorithmic Linearly Constrained Gaussian Processes Markus Lange-Hegermann 71 35 0 28 Jan 2018
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems Simo Särkkä Mauricio A. Alvarez Neil D. Lawrence 52 52 0 15 Sep 2017
Using Inertial Sensors for Position and Orientation Estimation Manon Kok Jeroen D. Hol Thomas B. Schon 82 448 0 20 Apr 2017
Linearly constrained Gaussian processes Carl Jidling Niklas Wahlström A. Wills Thomas B. Schon 65 98 0 02 Mar 2017
Inertial Odometry on Handheld Smartphones Arno Solin Santiago Cortés Reina Esa Rahtu Arno Solin 69 54 0 01 Mar 2017