Paul Chauchat

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Nonlinear Systems

Matrix Inversion

Top Venues

IEEE Control. Syst. Lett.

IEEE Robotics Autom. Lett.

Publications

Andrea Bellés, Daniel Medina, Paul Chauchat, Samy Labsir, Jordi Vilà-Valls
Robust error-state Kalman-type filters for attitude estimation. EURASIP J. Adv. Signal Process. 2024 (1) (2024)
Paul Chauchat, Silvère Bonnabel, Axel Barrau
Invariant Smoothing for Localization: Including the IMU Biases. CoRR (2023)
Andrea Bellés, Daniel Medina, Paul Chauchat, Samy Labsir, Jordi Vilà-Valls
Robust M-Type Error-State Kalman Filters for Attitude Estimation. EUSIPCO (2023)
Alexandre Faye-Bédrin, Stanislav Aranovskiy, Paul Chauchat, Romain Bourdais
Maintaining a Relevant Dataset for Data-Driven MPC Using Willems' Fundamental Lemma Extensions. CDC (2023)
Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette
On the asymptotic behavior of linearly constrained filters for robust multi-channel signal processing. Signal Process. 196 (2022)
Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette
Robust Linearly Constrained Invariant Filtering for a Class of Mismatched Nonlinear Systems. IEEE Control. Syst. Lett. 6 (2022)
Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette
Robust Kalman Smoothers With Linear Equality Constraints. IEEE Control. Syst. Lett. 6 (2022)
Martin Brossard, Axel Barrau, Paul Chauchat, Silvere Bonnabel
Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration With Rotating Earth. IEEE Trans. Robotics 38 (2) (2022)
Yi Ding, Paul Chauchat, Gaël Pagès, Philippe Asseman
Learning-Enhanced Adaptive Robust GNSS Navigation in Challenging Environments. IEEE Robotics Autom. Lett. 7 (4) (2022)
Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette
Robust Information Filtering Under Model Mismatch for Large-Scale Dynamic Systems. IEEE Control. Syst. Lett. 6 (2022)
Paul Chauchat, Silvere Bonnabel, Axel Barrau
Invariant Smoothing with low process noise. CoRR (2022)
Paul Chauchat, Silvere Bonnabel, Axel Barrau
Invariant Smoothing with low process noise. CDC (2022)
Paul Chauchat, Daniel Medina, Jordi Vilà-Valls, Eric Chaumette
Robust Linearly Constrained Filtering for GNSS Position and Attitude Estimation under Antenna Baseline Mismatch. FUSION (2021)
Paul Chauchat, Axel Barrau, Silvère Bonnabel
Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization. IEEE Trans. Control. Syst. Technol. 29 (3) (2021)
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
Introduction to Geometric Learning in Python with Geomstats. SciPy (2020)
Martin Brossard, Axel Barrau, Paul Chauchat, Silvère Bonnabel
Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth. CoRR (2020)
Paul Chauchat, Axel Barrau, Silvère Bonnabel
Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization. CoRR (2020)
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
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR (2020)
Paul Chauchat, Axel Barrau, Silvère Bonnabel
Invariant Smoothing on Lie Groups. CoRR (2018)
Paul Chauchat, Axel Barrau, Silvere Bonnabel
Invariant smoothing on Lie Groups. IROS (2018)
Paul Chauchat, Axel Barrau, Silvere Bonnabel
Kalman filtering with a class of geometric state equality constraints. CDC (2017)