Silvère Bonnabel

Orcid: 0000-0002-6001-7766

According to our database1, Silvère Bonnabel authored at least 93 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Low-Rank Plus Diagonal Approximations for Riccati-Like Matrix Differential Equations.
SIAM J. Matrix Anal. Appl., 2024

Invariant filtering for wheeled vehicle localization with unknown wheel radius and unknown GNSS lever arm.
CoRR, 2024

Iterated Invariant Extended Kalman Filter (IIEKF).
CoRR, 2024

Backpropagation-Based Analytical Derivatives of EKF Covariance for Active Sensing.
CoRR, 2024

2023
Speeding-Up Backpropagation of Gradients Through the Kalman Filter via Closed-Form Expressions.
IEEE Trans. Autom. Control., December, 2023

The limited-memory recursive variational Gaussian approximation (L-RVGA).
Stat. Comput., June, 2023

Real-time Classification of Aircrafts Manoeuvers.
J. Signal Process. Syst., April, 2023

The Geometry of Navigation Problems.
IEEE Trans. Autom. Control., February, 2023

Invariant Smoothing for Localization: Including the IMU Biases.
CoRR, 2023

Variational Gaussian Approximation of the Kushner Optimal Filter.
Proceedings of the Geometric Science of Information - 6th International Conference, 2023

A Computationally Efficient Global Indicator to Detect Spurious Measurement Drifts in Kalman Filtering.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Invariant Kalman Filtering with Noise-Free Pseudo-Measurements.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Optimal Active Sensing Control for Two-Frame Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration With Rotating Earth.
IEEE Trans. Robotics, 2022

The recursive variational Gaussian approximation (R-VGA).
Stat. Comput., 2022

Variational inference via Wasserstein gradient flows.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The continuous-discrete variational Kalman filter (CD-VKF).
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Invariant Smoothing with low process noise.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization.
IEEE Trans. Control. Syst. Technol., 2021

NNAKF: A Neural Network Adapted Kalman Filter for Target Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
AI-IMU Dead-Reckoning.
IEEE Trans. Intell. Veh., 2020

Extended Kalman Filtering With Nonlinear Equality Constraints: A Geometric Approach.
IEEE Trans. Autom. Control., 2020

On Stability of a Class of Filters for Nonlinear Stochastic Systems.
SIAM J. Control. Optim., 2020

Denoising IMU Gyroscopes With Deep Learning for Open-Loop Attitude Estimation.
IEEE Robotics Autom. Lett., 2020

A New Approach to 3D ICP Covariance Estimation.
IEEE Robotics Autom. Lett., 2020

A real-time unscented Kalman filter on manifolds for challenging AUV navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Code for Unscented Kalman Filtering on Manifolds (UKF-M).
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

A Mathematical Framework for IMU Error Propagation with Applications to Preintegration.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Linear observed systems on groups.
Syst. Control. Lett., 2019

A New Approach to 3D ICP Covariance Estimation for Mobile Robotics.
CoRR, 2019

Exploiting Symmetries to Design EKFs with Consistency Properties for Navigation and SLAM.
CoRR, 2019

RINS-W: Robust Inertial Navigation System on Wheels.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Wheel Odometry and IMU Errors for Localization.
Proceedings of the International Conference on Robotics and Automation, 2019

On the Accuracy Limit of Time-delay Estimation with a Band-limited Signal.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Symmetry reduction for dynamic programming.
Autom., 2018

Invariant Kalman Filtering.
Annu. Rev. Control. Robotics Auton. Syst., 2018

Invariant smoothing on Lie Groups.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Unscented Kalman Filter on Lie Groups for Visual Inertial Odometry.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Invariant Kalman Filtering for Visual Inertial SLAM.
Proceedings of the 21st International Conference on Information Fusion, 2018

Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Particle observers for state estimation and adaptation in deterministic systems with random piecewise constant inputs.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Stochastic observers on Lie groups: a tutorial.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
The Invariant Extended Kalman Filter as a Stable Observer.
IEEE Trans. Autom. Control., 2017

Unscented Kalman filtering on Lie groups.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Drone Tracking Using an Innovative UKF.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Particle Observers for Contracting Dynamical Systems.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Tracking the Frenet-Serret frame associated to a highly maneuvering target in 3D.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Kalman filtering with a class of geometric state equality constraints.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Symmetry reduction for dynamic programming and application to MRI.
Proceedings of the 2017 American Control Conference, 2017

Towards realistic covariance estimation of ICP-based Kinect V1 scan matching: The 1D case.
Proceedings of the 2017 American Control Conference, 2017

2016
On the covariance of ICP-based scan-matching techniques.
Proceedings of the 2016 American Control Conference, 2016

2015
Invariant EKF Design for Scan Matching-Aided Localization.
IEEE Trans. Control. Syst. Technol., 2015

A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter.
IEEE Trans. Autom. Control., 2015

Intrinsic Filtering on Lie Groups With Applications to Attitude Estimation.
IEEE Trans. Autom. Control., 2015

An EKF-SLAM algorithm with consistency properties.
CoRR, 2015

An invariant Linear Quadratic Gaussian controller for a simplified car.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

An Intrinsic Cramér-Rao Bound on Lie Groups.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

An intrinsic Cramér-Rao bound on SO(3) for (dynamic) attitude filtering.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Invariant filtering for Pose EKF-SLAM aided by an IMU.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Humanoid Robot Navigation: Getting Localization Information from Vision.
J. Intell. Syst., 2014

Anisotropy Preserving DTI Processing.
Int. J. Comput. Vis., 2014

Fixed-rank matrix factorizations and Riemannian low-rank optimization.
Comput. Stat., 2014

Observability, Covariance and Uncertainty of ICP Scan Matching.
CoRR, 2014

Priority-based intersection management with kinodynamic constraints.
Proceedings of the 13th European Control Conference, 2014

Invariant particle filtering with application to localization.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Experimental implementation of an Invariant Extended Kalman Filter-based scan matching SLAM.
Proceedings of the American Control Conference, 2014

2013
Stochastic Gradient Descent on Riemannian Manifolds.
IEEE Trans. Autom. Control., 2013

Optimal cooperative motion planning for vehicles at intersections.
CoRR, 2013

Priority-based coordination of robots.
CoRR, 2013

Humanoid robot navigation: From a visual SLAM to a visual compass.
Proceedings of 10th IEEE International Conference on Networking, Sensing and Control, 2013

A Note on the Intrinsic Cramer-Rao Bound.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Contraction-based design of positive observers.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Intrinsic filtering on SO(3) with discrete-time observations.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
A contraction theory-based analysis of the stability of the Extended Kalman Filter
CoRR, 2012

An anisotropy preserving metric for DTI processing
CoRR, 2012

The geometry of low-rank Kalman filters
CoRR, 2012

Accurate 3D maps from depth images and motion sensors via nonlinear Kalman filtering.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
Symmetry-Based Observers for Some Water-Tank Problems.
IEEE Trans. Autom. Control., 2011

Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach.
J. Mach. Learn. Res., 2011

Symmetries in observer design: review of some recent results and applications to EKF-based SLAM
CoRR, 2011

Linear Regression under Fixed-Rank Constraints: A Riemannian Approach.
Proceedings of the 28th International Conference on Machine Learning, 2011

A simple nonlinear filter for low-cost ground vehicle localization system.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Contraction and observer design on cones.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Coordinated Motion Design on Lie Groups.
IEEE Trans. Autom. Control., 2010

A Simple Intrinsic Reduced-Observer for Geodesic Flow.
IEEE Trans. Autom. Control., 2010

2009
Non-Linear Symmetry-Preserving Observers on Lie Groups.
IEEE Trans. Autom. Control., 2009

Riemannian Metric and Geometric Mean for Positive Semidefinite Matrices of Fixed Rank.
SIAM J. Matrix Anal. Appl., 2009

Observer-based Hamiltonian identification for quantum systems.
Autom., 2009

Invariant Extended Kalman Filter: theory and application to a velocity-aided attitude estimation problem.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Symmetry-Preserving Observers.
IEEE Trans. Autom. Control., 2008

Coordination on Lie groups.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Left-invariant extended Kalman filter and attitude estimation.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
A non-linear symmetry-preserving observer for velocity-aided inertial navigation.
Proceedings of the American Control Conference, 2006


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