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arxiv: 1105.2254 · v1 · pith:L2KFZ5ELnew · submitted 2011-05-11 · 🧮 math.OC · cs.RO· cs.SY· eess.SY

Symmetries in observer design: review of some recent results and applications to EKF-based SLAM

classification 🧮 math.OC cs.ROcs.SYeess.SY
keywords slamconvergenceextendedkalmanrecentresultsreviewsome
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In this paper, we first review the theory of symmetry-preserving observers and we mention some recent results. Then, we apply the theory to Extended Kalman Filter-based Simultaneous Localization and Mapping (EKF SLAM). It allows to derive a new (symmetry-preserving) Extended Kalman Filter for the non-linear SLAM problem that possesses convergence properties. We also prove a special choice of the gains ensures global exponential convergence.

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