Paul Chauchat

Orcid: 0000-0001-8123-5140

According to our database1, Paul Chauchat authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Robust error-state Kalman-type filters for attitude estimation.
EURASIP J. Adv. Signal Process., December, 2024

Invariant filtering for wheeled vehicle localization with unknown wheel radius and unknown GNSS lever arm.
CoRR, 2024

Insights on Adaptive Robust Filtering for Navigation Under Harsh Time-Varying Environments.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Invariant Smoothing for Localization: Including the IMU Biases.
CoRR, 2023

Robust M-Type Error-State Kalman Filters for Attitude Estimation.
Proceedings of the 31st European Signal Processing Conference, 2023

Maintaining a Relevant Dataset for Data-Driven MPC Using Willems' Fundamental Lemma Extensions.
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.
IEEE Trans. Robotics, 2022

On the asymptotic behavior of linearly constrained filters for robust multi-channel signal processing.
Signal Process., 2022

Learning-Enhanced Adaptive Robust GNSS Navigation in Challenging Environments.
IEEE Robotics Autom. Lett., 2022

Robust Kalman Smoothers With Linear Equality Constraints.
IEEE Control. Syst. Lett., 2022

Robust Information Filtering Under Model Mismatch for Large-Scale Dynamic Systems.
IEEE Control. Syst. Lett., 2022

Robust Linearly Constrained Invariant Filtering for a Class of Mismatched Nonlinear Systems.
IEEE Control. Syst. Lett., 2022

Invariant Smoothing with low process noise.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization.
IEEE Trans. Control. Syst. Technol., 2021

Robust Linearly Constrained Filtering for GNSS Position and Attitude Estimation under Antenna Baseline Mismatch.
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).
PhD thesis, 2020

Geomstats: A Python Package for Riemannian Geometry in Machine Learning.
CoRR, 2020

Introduction to Geometric Learning in Python with Geomstats.
Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2018
Invariant smoothing on Lie Groups.
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.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


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