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Master Thesis

Apport du filtrage de Kalman aux systèmes de positionnement embarqués et à l’auscultation

Abstract : Nowadays, dynamic positioning is of a great value for land surveyor. In fact, monitoring surveys and mobile land surveying system (laser scanner, photogrammetry, etc) used to estimate kinematics parameters of dynamics elements. The Kalman filter is a data processing algorithm that estimates unknown dynamics parameters with the help of a process model, and measurements. This processing is well-suited for kinematic positioning. The purpose of this study is to demonstrate the benefits of Kalman filtering algorithm to the kinematic positioning thanks to an experience with a hybrid GNSS-inertial navigation system, and an experience of monitoring survey with electronic tacheometer.
Document type :
Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-01164654
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Submitted on : Wednesday, June 17, 2015 - 2:38:12 PM
Last modification on : Saturday, February 8, 2020 - 12:02:15 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 11:25:43 AM

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  • HAL Id : dumas-01164654, version 1

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Citation

Guillaume Chauveau. Apport du filtrage de Kalman aux systèmes de positionnement embarqués et à l’auscultation. Sciences de l'ingénieur [physics]. 2014. ⟨dumas-01164654⟩

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