Paul Chauchat

According to our database, Paul Chauchat authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Invariant Smoothing for Localization: Including the IMU Biases.

Paul Chauchat, Silvère Bonnabel, Axel Barrau

CoRR, 2023

Robust M-Type Error-State Kalman Filters for Attitude Estimation.

Andrea Bellés, Daniel Medina, Paul Chauchat, Samy Labsir, Jordi Vilà-Valls

Proceedings of the 31st European Signal Processing Conference, 2023

Maintaining a Relevant Dataset for Data-Driven MPC Using Willems' Fundamental Lemma Extensions.

Alexandre Faye-Bédrin, Stanislav Aranovskiy, Paul Chauchat, Romain Bourdais

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.

Martin Brossard, Axel Barrau, Paul Chauchat, Silvère Bonnabel

IEEE Trans. Robotics, 2022

On the asymptotic behavior of linearly constrained filters for robust multi-channel signal processing.

Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette

Signal Process., 2022

Learning-Enhanced Adaptive Robust GNSS Navigation in Challenging Environments.

Yi Ding, Paul Chauchat, Gaël Pagès, Philippe Asseman

IEEE Robotics Autom. Lett., 2022

Robust Kalman Smoothers With Linear Equality Constraints.

Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette

IEEE Control. Syst. Lett., 2022

Robust Information Filtering Under Model Mismatch for Large-Scale Dynamic Systems.

Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette

IEEE Control. Syst. Lett., 2022

Robust Linearly Constrained Invariant Filtering for a Class of Mismatched Nonlinear Systems.

Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette

IEEE Control. Syst. Lett., 2022

Invariant Smoothing with low process noise.

Paul Chauchat, Silvère Bonnabel, Axel Barrau

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization.

Paul Chauchat, Axel Barrau, Silvère Bonnabel

IEEE Trans. Control. Syst. Technol., 2021

Robust Linearly Constrained Filtering for GNSS Position and Attitude Estimation under Antenna Baseline Mismatch.

Paul Chauchat, Daniel Medina, Jordi Vilà-Valls, Eric Chaumette

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

Smoothing algorithms for navigation, localisation and mapping based on high-grade inertial sensors. (Algorithmes de lissage pour la navigation, la localisation et la cartographie, basés sur des capteurs inertiels haute qualité).

Paul Chauchat

PhD thesis, 2020

Geomstats: A Python Package for Riemannian Geometry in Machine Learning.

Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec

CoRR, 2020

Introduction to Geometric Learning in Python with Geomstats.

Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2018

Invariant smoothing on Lie Groups.

Paul Chauchat, Axel Barrau, Silvère Bonnabel

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Kalman filtering with a class of geometric state equality constraints.

Paul Chauchat, Axel Barrau, Silvère Bonnabel

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017