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Items where Author is "Cossette, Charles Champagne"

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Number of items: 9.

C

Cossette, C. C., Shalaby, M. A., Saussié, D., & Forbes, J. R. (2024). Decentralized state estimation: An approach using pseudomeasurements and preintegration. The international journal of robotics research, 21 pages. Available

Cossette, C. C., Shalaby, M. A., Saussié, D., Le Ny, J., & Forbes, J. R. (2022, October). Optimal Multi-robot Formations for Relative Pose Estimation Using Range Measurements [Paper]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan. External link

Cossette, C. C., Shalaby, M., Saussié, D., & Forbes, J. R. (2021, September). Localization with Directional Coordinates [Paper]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech Republic. External link

Cossette, C. C., Shalaby, M., Saussié, D., Forbes, J. R., & Le Ny, J. (2021). Relative Position Estimation Between Two UWB Devices with IMUs. IEEE Robotics and Automation Letters, 6(3), 4313-4320. External link

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Shalaby, M. A., Cossette, C. C., Le Ny, J., & Forbes, J. R. (2024). Multi-Robot Relative Pose Estimation and IMU Preintegration Using Passive UWB Transceivers. IEEE Transactions on Robotics, 3370027 (20 pages). External link

Shalaby, M. A., Cossette, C. C., Forbes, J. R., & Le Ny, J. (2024). Reducing Two-Way Ranging Variance by Signal-Timing Optimization. IEEE Transactions on Aerospace and Electronic Systems, 3365096 (7 pages). External link

Shalaby, M. A., Cossette, C. C., Forbes, J. R., & Le Ny, J. (2023, May). Calibration and Uncertainty Characterization for Ultra-Wideband Two-Way-Ranging Measurements [Paper]. 2023 IEEE International Conference on Robotics and Automation (ICRA 2023), London, UK. External link

Shalaby, M., Cossette, C. C., Le Ny, J., & Forbes, J. R. (2021). Cascaded Filtering Using the Sigma Point Transformation. IEEE Robotics and Automation Letters, 6(3), 4758-4765. External link

Shalaby, M., Cossette, C. C., Forbes, J. R., & Le Ny, J. (2021). Relative Position Estimation in Multi-Agent Systems Using Attitude-Coupled Range Measurements. IEEE Robotics and Automation Letters, 6(3), 4955-4961. External link

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