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A Mathematical Framework for IMU Error Propagation with Applications to Preintegration

Abstract : To fuse information from inertial measurement units (IMU) with other sensors one needs an accurate model for IMU error propagation in terms of position, velocity and orientation, a triplet we call extended pose. In this paper we leverage a nontrivial result, namely log-linearity of inertial navigation equations based on the recently introduced Lie group SE 2 (3), to transpose the recent methodology of Barfoot and Furgale for associating uncertainty with poses (position, orientation) of SE(3) when using noisy wheel speeds, to the case of extended poses (position, velocity, orientation) of SE 2 (3) when using noisy IMUs. Besides, our approach to extended poses combined with log-linearity property allows revisiting the theory of preintegration on manifolds and reaching a further theoretic level in this field. We show exact preinte-gration formulas that account for rotating earth, that is, centrifugal force and Coriolis effect, may be derived as a byproduct.
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Contributor : Silvere Bonnabel <>
Submitted on : Tuesday, May 26, 2020 - 12:13:33 AM
Last modification on : Thursday, September 24, 2020 - 5:04:02 PM


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  • HAL Id : hal-02394774, version 3


Axel Barrau, Silvere Bonnabel. A Mathematical Framework for IMU Error Propagation with Applications to Preintegration. IEEE International Conference on Robotics and Automation (ICRA), May 2020, Paris, France. ⟨hal-02394774v3⟩



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