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Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics
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Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics

Zi Cong Guo
James R. Forbes
Timothy D. Barfoot
ArXiv (abs)PDFHTML

Papers citing "Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics"

9 / 9 papers shown
Title
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
Sangli Teng
Harry Zhang
David Jin
A. Jasour
Maani Ghaffari
Luca Carlone
115
11
0
07 Mar 2024
Data-Driven Batch Localization and SLAM Using Koopman Linearization
Data-Driven Batch Localization and SLAM Using Koopman Linearization
Zi Cong Guo
Frederike Dumbgen
James R. Forbes
Timothy D. Barfoot
69
4
0
08 Sep 2023
Koopman Kernel Regression
Koopman Kernel Regression
Petar Bevanda
Maximilian Beier
Armin Lederer
Stefan Sosnowski
Eyke Hüllermeier
Sandra Hirche
AI4TS
59
16
0
25 May 2023
Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems
Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems
Zixiang Guo
Vassili Korotkine
James R. Forbes
Timothy D. Barfoot
85
12
0
14 Sep 2021
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments
Ransalu Senanayake
Maneekwan Toyungyernsub
Mingyu Wang
Mykel J. Kochenderfer
Mac Schwager
65
6
0
01 Jul 2020
Learning Stable Models for Prediction and Control
Learning Stable Models for Prediction and Control
Giorgos Mamakoukas
Ian Abraham
Todd Murphey
78
39
0
08 May 2020
A micro Lie theory for state estimation in robotics
A micro Lie theory for state estimation in robotics
J. Solà
Jeremie Deray
Dinesh Atchuthan
48
413
0
04 Dec 2018
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments
Ransalu Senanayake
F. Ramos
54
27
0
03 Sep 2018
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi
Yoshinobu Kawahara
Takehisa Yairi
49
374
0
12 Oct 2017

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