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Maintaining a relevant dataset for data-driven MPC

 Alexandre Faye-Bédrin , Stanislav Aranovskiy , Paul Chauchat , Romain Bourdais
Premier congrès annuel de SAGIP( Société d’Automatique, de Génie Industriel et de Productique), SAGIP, Jun 2023, Marseille, France
Communication dans un congrès hal-04073049v1
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Invariant Smoothing with low process noise

 Paul Chauchat , Silvere Bonnabel , Axel Barrau
IEEE, pp.4758-4763, ⟨10.1109/CDC51059.2022.9993071⟩
Proceedings/Recueil des communications hal-03630824v1

Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration With Rotating Earth

 Martin Brossard , Axel Barrau , Paul Chauchat , Silvere Bonnabel
IEEE Transactions on Robotics, 2022, 38 (2), pp.998-1015. ⟨10.1109/TRO.2021.3100156⟩
Article dans une revue hal-03460485v1

Learning-Enhanced Adaptive Robust GNSS Navigation in Challenging Environments

 Yi Ding , Paul Chauchat , Gaël Pages , Philippe Asseman
IEEE Robotics and Automation Letters, 2022, 7 (4), pp.9905-9912. ⟨10.1109/LRA.2022.3192889⟩
Article dans une revue hal-03771160v1
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Invariant Smoothing on Lie Groups

 Paul Chauchat , Axel Barrau , Silvere Bonnabel
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Oct 2018, Madrid, Spain
Communication dans un congrès hal-01725847v1
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On the asymptotic behavior of linearly constrained filters for robust multi-channel signal processing

 Paul Chauchat , J. Vilà-Valls , E. Chaumette
Signal Processing, 2022, 196, pp.108500. ⟨10.1016/j.sigpro.2022.108500⟩
Article dans une revue hal-03632658v1
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Kalman filtering with a class of geometric state equality constraints

 Paul Chauchat , A. Barrau , S. Bonnabel
IEEE, pp.2581-2586, 2017, ⟨10.1109/CDC.2017.8264033⟩
Proceedings/Recueil des communications hal-01580569v2
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Reliable GNSS Joint Position and Attitude Estimation in Harsh Environments through Robust Statistics

 Andrea Belles , Daniel Medina , Paul Chauchat , Jordi Vila-Valls
2022 IEEE Aerospace Conference (AERO), IEEE, pp.1-9, 2022, ⟨10.1109/AERO53065.2022.9843300⟩
Proceedings/Recueil des communications hal-03947164v1
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Invariant Smoothing for Localization: Including the IMU Biases

 Paul Chauchat , Silvère Bonnabel , Axel Barrau
2023
Pré-publication, Document de travail hal-04212340v2

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

 Andrea Belles , Daniel Medina-Cano , Paul Chauchat , Samy Labsir , Jordi Vilà-Valls
2023 31st European Signal Processing Conference (EUSIPCO), Sep 2023, Helsinki, Finland. ⟨10.23919/eusipco58844.2023.10289871⟩
Communication dans un congrès hal-04356708v1

Robust Kalman Smoothers With Linear Equality Constraints

 Paul Chauchat , Jordi Vila-Valls , Eric Chaumette
IEEE Control Systems Letters, 2022, 6, pp.1537-1542. ⟨10.1109/LCSYS.2021.3122456⟩
Article dans une revue hal-03947214v1

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

 Paul Chauchat , Daniel Medina , Jordi Vila-Valls , Eric Chaumette
IEEE, pp.1-7, 2021, ⟨10.23919/FUSION49465.2021.9626840⟩
Proceedings/Recueil des communications hal-03947191v1
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Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization

 Paul Chauchat , Axel Barrau , Silvere Bonnabel
IEEE Transactions on Control Systems Technology, 2021, 29 (3), pp.1219 - 1232. ⟨10.1109/TCST.2020.3001387⟩
Article dans une revue hal-02943953v1
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Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth

 Martin Brossard , Axel Barrau , Paul Chauchat , Silvère Bonnabel
2020
Pré-publication, Document de travail hal-02906941v2
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Smoothing algorithms for navigation, localisation and mapping based on high-grade inertial sensors

 Paul Chauchat
Robotics [cs.RO]. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLM005⟩
Thèse tel-02887295v1
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Geomstats: A Python Package for Riemannian Geometry in Machine Learning

 Nina Miolane , Nicolas Guigui , Alice Le Brigant , Johan Mathe , Benjamin Hou , et al.
Journal of Machine Learning Research, 2020, 21 (223), pp.1-9
Article dans une revue hal-02536154v2
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Maintaining a relevant dataset for data-driven MPC using Willems' fundamental lemma extensions

 Alexandre Faye-Bédrin , Stanislav Aranovskiy , Paul Chauchat , Romain Bourdais
2023 62nd IEEE Conference on Decision and Control (CDC), Dec 2023, Singapore, Singapore. pp.2584-2589, ⟨10.1109/CDC49753.2023.10383545⟩
Communication dans un congrès hal-04073063v2

Navigation assistance method for a mobile carrier.

 Paul Chauchat , Axel Barrau , Silvere Bonnabel
France, Patent n° : WO2021156569A1. 2020
Brevet hal-04064929v1
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A computationally efficient reformulation for Data-Enabled Predictive Control

 Alexandre Faye-Bedrin , Stanislav Aranovskiy , Paul Chauchat , Romain Bourdais
2024
Pré-publication, Document de travail hal-04542440v1
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Introduction to Geometric Learning in Python with Geomstats

 Nina Miolane , Nicolas Guigui , Hadi Zaatiti , Christian Shewmake , Hatem Hajri , et al.
SciPy 2020 - 19th Python in Science Conference, Jul 2020, Austin, Texas, United States. pp.48-57, ⟨10.25080/Majora-342d178e-007⟩
Communication dans un congrès hal-02908006v1

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

 Paul Chauchat , Jordi Vila-Valls , Eric Chaumette
IEEE Control Systems Letters, 2022, 6, pp.223-228. ⟨10.1109/LCSYS.2021.3064931⟩
Article dans une revue hal-03947241v1

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

 Paul Chauchat , Jordi Vila-Valls , Eric Chaumette
IEEE Control Systems Letters, 2022, 6, pp.818-823. ⟨10.1109/LCSYS.2021.3086569⟩
Article dans une revue hal-03947227v1
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