Discrete update pose filter on the special Euclidean group SE(3)
Abstract
This paper proposes two variants of the Geometric
Approximate Minimum Energy (GAME) filter on the Special
Euclidean Group SE(3) in the case that exteroceptive measurements are obtained in discrete time. Continuous-discrete
versions of the GAME filter are provided that near-continuously
predict pose and its covariance using high frequency interoceptive measurements and then update these estimates utilizing
low frequency exteroceptive measurements obtained in discrete
time. The two variants of the proposed filter are differentiated
in their derivation due to the choice of affine connection used
on SE(3). The proposed discrete update filters are derived
based on first principles of deterministic minimum-energy
filtering extended for discrete time measurements and derived
directly on SE(3). The performance of the proposed filters
is demonstrated and compared in simulations with a short
discussion of practical implications of the choice of affine
connection.
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Proceedings of the 58th IEEE Conference on Decision and Control, CDC 2019
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2099-12-31