Charles Champagne Cossette

According to our database, Charles Champagne Cossette authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reducing Two-Way Ranging Variance by Signal-Timing Optimization.

Mohammed Ayman Shalaby, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny

IEEE Trans. Aerosp. Electron. Syst., June, 2024

Multi-robot Relative Pose Estimation and IMU Preintegration Using Passive UWB Transceivers.

Mohammed Ayman Shalaby, Charles Champagne Cossette, Jerome Le Ny, James Richard Forbes

IEEE Trans. Robotics, 2024

DIVE: Deep Inertial-Only Velocity Aided Estimation for Quadrotors.

Angad Bajwa, Charles Champagne Cossette, Mohammed Ayman Shalaby, James Richard Forbes

IEEE Robotics Autom. Lett., 2024

Decentralized state estimation: An approach using pseudomeasurements and preintegration.

Charles Champagne Cossette, Mohammed Ayman Shalaby, David Saussié, James Richard Forbes

Int. J. Robotics Res., 2024

Gaussian-Sum Filter for Range-based 3D Relative Pose Estimation in the Presence of Ambiguities.

Syed S. Ahmed, Mohammed Ayman Shalaby, Charles Champagne Cossette, Jerome Le Ny, James Richard Forbes

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

2023

IMU Preintegration for Multi-Robot Systems in the Presence of Bias and Communication Constraints.

Mohammed Ayman Shalaby, Charles Champagne Cossette, Jerome Le Ny, James Richard Forbes

CoRR, 2023

STAR-loc: Dataset for STereo And Range-based localization.

Frederike Dümbgen, Mohammed Ayman Shalaby, Connor Holmes, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny, Timothy D. Barfoot

CoRR, 2023

On-manifold Decentralized State Estimation using Pseudomeasurements and Preintegration.

Charles Champagne Cossette, Mohammed Ayman Shalaby, David Saussié, James Richard Forbes

CoRR, 2023

Magnetic Navigation Using Attitude-Invariant Magnetic Field Information for Loop Closure Detection.

Natalia Pavlasek, Charles Champagne Cossette, David Roy-Guay, James Richard Forbes

IROS, 2023

navlie: A Python Package for State Estimation on Lie Groups.

Charles Champagne Cossette, Mitchell R. Cohen, Vassili Korotkine, Arturo Del Castillo Bernal, Mohammed Ayman Shalaby, James Richard Forbes

IROS, 2023

Calibration and Uncertainty Characterization for Ultra-Wideband Two-Way-Ranging Measurements.

Mohammed Ayman Shalaby, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Ultra-Wideband Teach and Repeat.

Mohammed Ayman Shalaby, Charles Champagne Cossette, Jerome Le Ny, James Richard Forbes

CoRR, 2022

Optimal Multi-robot Formations for Relative Pose Estimation Using Range Measurements.

Charles Champagne Cossette, Mohammed Ayman Shalaby, David Saussié, Jérôme Le Ny, James Richard Forbes

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Cascaded Filtering Using the Sigma Point Transformation.

Mohammed Shalaby, Charles Champagne Cossette, Jerome Le Ny, James Richard Forbes

IEEE Robotics Autom. Lett., 2021

Relative Position Estimation in Multi-Agent Systems Using Attitude-Coupled Range Measurements.

Mohammed Shalaby, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny

IEEE Robotics Autom. Lett., 2021

Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes.

Daniil Lisus, Charles Champagne Cossette, Mohammed Shalaby, James Richard Forbes

IEEE Robotics Autom. Lett., 2021

Relative Position Estimation Between Two UWB Devices With IMUs.

Charles Champagne Cossette, Mohammed Shalaby, David Saussié, James Richard Forbes, Jerome Le Ny

IEEE Robotics Autom. Lett., 2021

Cascaded Filtering Using the Sigma Point Transformation (Extended Version).

Mohammed Shalaby, Charles Champagne Cossette, Jerome Le Ny, James Richard Forbes

CoRR, 2021

Localization with Directional Coordinates.

Charles Champagne Cossette, Mohammed Shalaby, David Saussié, James Richard Forbes

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

The Complex-Step Derivative Approximation on Matrix Lie Groups.

Charles Champagne Cossette, Alex Walsh, James Richard Forbes

IEEE Robotics Autom. Lett., 2020