| 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 | 97 | 2020 |
| 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 | 81 | 2021 |
| Invariant smoothing on lie groups P Chauchat, A Barrau, S Bonnabel 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 29 | 2018 |
| 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 | 16 | 2020 |
| 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 | 14 | 2020 |
| 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 | 11 | 2022 |
| 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 | 9 | 2017 |
| 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 | 8 | 2021 |
| Smoothing algorithms for navigation, localisation and mapping based on high-grade inertial sensors P Chauchat Université Paris sciences et lettres, 2020 | 6 | 2020 |
| 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 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 | 4 | 2023 |
| Invariant Smoothing with low process noise P Chauchat, S Bonnabel, A Barrau 2022 IEEE 61st Conference on Decision and Control (CDC), 4758-4763, 2022 | 4 | 2022 |
| 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 | 4 | 2021 |
| 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 | 3 | 2024 |
| 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 | 3 | 2022 |
| Invariant Smoothing for Localization: Including the IMU Biases P Chauchat, S Bonnabel, A Barrau arXiv preprint arXiv:2309.13903, 2023 | 2 | 2023 |
| 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 | 2 | 2021 |
| Two-frame groups with scalings P Chauchat, A Barrau, S Bonnabel IFAC-PapersOnLine 58 (6), 315-320, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| Invariant filtering for wheeled vehicle localization with unknown wheel radius and unknown GNSS lever arm P Chauchat, S Bonnabel, A Barrau arXiv preprint arXiv:2409.07050, 2024 | | 2024 |
