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Experimental Implementation of an Invariant Extended Kalman Filter-based Scan Matching SLAM

Martin Barczyk
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  • PersonId : 954120
Silvère Bonnabel
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  • PersonId : 866182
Jean-Emmanuel Deschaud
François Goulette

Abstract

We describe an application of the Invariant Extended Kalman Filter (IEKF) design methodology to the scan matching SLAM problem. We review the theoretical foundations of the IEKF and its practical interest of guaranteeing robustness to poor state estimates, then implement the filter on a wheeled robot hardware platform. The proposed design is successfully validated in experimental testing.

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Dates and versions

hal-00961605 , version 1 (24-03-2014)

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  • HAL Id : hal-00961605 , version 1

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Martin Barczyk, Silvère Bonnabel, Jean-Emmanuel Deschaud, François Goulette. Experimental Implementation of an Invariant Extended Kalman Filter-based Scan Matching SLAM. 2014. ⟨hal-00961605⟩
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