Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation

9 November 2019

Papers citing "Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation"

11 / 11 papers shown

Title
Continuous-Time State Estimation Methods in Robotics: A Survey William Talbot Julian Nubert Turcan Tuna Cesar Cadena Frederike Dumbgen J. Tordesillas T. Barfoot Marco Hutter 74 8 0 06 Nov 2024
Data-Driven Batch Localization and SLAM Using Koopman Linearization Zi Cong Guo Frederike Dumbgen James Richard Forbes T. Barfoot 47 3 0 08 Sep 2023
Distributed Variational Inference for Online Supervised Learning P. Paritosh Nikolay Atanasov Sonia Martinez 37 1 0 05 Sep 2023
Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model David J. Yoon T. Barfoot 27 1 0 11 Mar 2023
Improving Self-Consistency in Underwater Mapping Through Laser-Based Loop Closure (Extended) Thomas Hitchcox James Richard Forbes 28 10 0 05 Jan 2023
Lidar-level localization with radar? The CFEAR approach to accurate, fast and robust large-scale radar odometry in diverse environments Daniel Adolfsson Martin Magnusson Anas W. Alhashimi A. Lilienthal Henrik Andreasson 36 40 0 04 Nov 2022
A Gaussian variational inference approach to motion planning Hongzhe Yu Yongxin Chen 37 16 0 13 Sep 2022
Low-rank variational Bayes correction to the Laplace method J. van Niekerk Haavard Rue BDL 26 13 0 25 Nov 2021
Variational Inference as Iterative Projection in a Bayesian Hilbert Space with Application to Robotic State Estimation T. Barfoot G. D’Eleuterio BDL 6 2 0 14 May 2020
Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation Jeremy N. Wong David J. Yoon Angela P. Schoellig T. Barfoot 14 20 0 21 Mar 2020
Gaussian Variational State Estimation for Nonlinear State-Space Models Jarrad Courts A. Wills Thomas B. Schon 11 14 0 07 Feb 2020