Equivariant Filter (EqF): A General Filter Design for Systems on Homogeneous Spaces
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van Goor, Pieter
Hamel, Tarek
Mahony, Robert
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IEEE
Abstract
The kinematics of many mechanical systems encountered in robotics and other fields, such as single-bearing
attitude estimation and SLAM, are naturally posed on homogeneous spaces: That is, their state lies in a smooth manifold
equipped with a transitive Lie-group symmetry. This paper
shows that any system posed in a homogeneous space can
be extended to a larger system that is equivariant under a
symmetry action. The equivariant structure of the system is
exploited to propose a novel new filter, the Equivariant Filter
(EqF), based on linearisation of global error dynamics derived
from the symmetry action. The EqF is applied to an example
of estimating the positions of stationary landmarks relative to
a moving monocular camera that is intractable for previously
proposed symmetry based filter design methodologies
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2020 59th IEEE Conference on Decision and Control (CDC)
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Open Access
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