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Paul Chauchat
Paul Chauchat
Enseignant-Chercheur
Bestätigte E-Mail-Adresse bei centralesupelec.fr
Titel
Zitiert von
Zitiert von
Jahr
Geomstats: a Python package for Riemannian geometry in machine learning
N Miolane, N Guigui, A Le Brigant, J Mathe, B Hou, Y Thanwerdas, ...
Journal of Machine Learning Research 21 (223), 1-9, 2020
902020
Associating uncertainty to extended poses for on lie group IMU preintegration with rotating earth
M Brossard, A Barrau, P Chauchat, S Bonnabel
IEEE Transactions on Robotics 38 (2), 998-1015, 2021
712021
Invariant smoothing on lie groups
P Chauchat, A Barrau, S Bonnabel
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
282018
Factor graph-based smoothing without matrix inversion for highly precise localization
P Chauchat, A Barrau, S Bonnabel
IEEE Transactions on Control Systems Technology 29 (3), 1219-1232, 2020
152020
Introduction to geometric learning in python with geomstats
N Miolane, N Guigui, H Zaatiti, C Shewmake, H Hajri, D Brooks, ...
SciPy 2020-19th Python in Science Conference, 48-57, 2020
132020
Learning-enhanced adaptive robust gnss navigation in challenging environments
Y Ding, P Chauchat, G Pages, P Asseman
IEEE Robotics and Automation Letters 7 (4), 9905-9912, 2022
92022
Kalman filtering with a class of geometric state equality constraints
P Chauchat, A Barrau, S Bonnabel
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2581-2586, 2017
92017
Robust linearly constrained invariant filtering for a class of mismatched nonlinear systems
P Chauchat, J Vila-Valls, E Chaumette
IEEE Control Systems Letters 6, 223-228, 2021
72021
Smoothing algorithms for navigation, localisation and mapping based on high-grade inertial sensors
P Chauchat
Université Paris sciences et lettres, 2020
62020
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. 2020
N Miolane, AL Brigant, J Mathe, B Hou, N Guigui, Y Thanwerdas, ...
arXiv preprint arXiv:2004.04667, 0
5
Robust information filtering under model mismatch for large-scale dynamic systems
P Chauchat, J Vilà-Valls, E Chaumette
IEEE Control Systems Letters 6, 818-823, 2021
42021
Invariant Smoothing with low process noise
P Chauchat, S Bonnabel, A Barrau
2022 IEEE 61st Conference on Decision and Control (CDC), 4758-4763, 2022
32022
On the asymptotic behavior of linearly constrained filters for robust multi-channel signal processing
P Chauchat, J Vilà-Valls, E Chaumette
Signal Processing 196, 108500, 2022
22022
Maintaining a relevant dataset for data-driven MPC using Willems' fundamental lemma extensions
A Faye-Bédrin, S Aranovskiy, P Chauchat, R Bourdais
2023 62nd IEEE Conference on Decision and Control (CDC), 2584-2589, 2023
12023
Robust M-Type Error-State Kalman Filters for Attitude Estimation
A Bellés, D Medina, P Chauchat, S Labsir, J Vilà-Valls
2023 31st European Signal Processing Conference (EUSIPCO), 840-844, 2023
12023
Robust Linearly Constrained Filtering for GNSS Position and Attitude Estimation under Antenna Baseline Mismatch
P Chauchat, D Medina, J Vilà-Valls, E Chaumette
2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-7, 2021
12021
Robust error-state Kalman-type filters for attitude estimation
A Bellés, D Medina, P Chauchat, S Labsir, J Vilà-Valls
EURASIP Journal on Advances in Signal Processing 2024 (1), 75, 2024
2024
A computationally efficient reformulation for Data-Enabled Predictive Control
A Faye-Bedrin, S Aranovskiy, P Chauchat, R Bourdais
2024
Invariant Smoothing for Localization: Including the IMU Biases
P Chauchat, S Bonnabel, A Barrau
arXiv preprint arXiv:2309.13903, 2023
2023
Maintaining a relevant dataset for data-driven MPC
A Faye-Bédrin, S Aranovskiy, P Chauchat, R Bourdais
Premier congrès annuel de SAGIP (Société d’Automatique, de Génie Industriel …, 2023
2023
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