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Constructive observer design for Visual Simultaneous Localisation and Mapping

delete2021-10-01
delete9
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OA
AI
P
Pieter van Goor *
R
Robert Mahony
T
Tarek Hamel
J
Jochen Trumpf
DOI:10.1016/j.automatica.2021.109803delete
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Abstract

Abstract

En 中文
Visual Simultaneous Localisation and Mapping (VSLAM) is a well-known problem in robotics with a large range of applications. This paper presents a novel approach to VSLAM by lifting the observer design to a novel Lie group VSLAM(n)(3) on which the system output is equivariant. The perspective gained from this analysis facilitates the design of a non-linear observer with almost semi-globally asymptotically stable error dynamics. Simulations are provided to illustrate the behaviour of the proposed observer and experiments on data gathered using a fixed-wing UAV flying outdoors demonstrate its performance. (C) 2021 Elsevier Ltd. All rights reserved.
Keywords:
Equivariant observer
Visual odometry (VO)
Simultaneous Localisation and Mapping (SLAM)
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Automatica cover
Automatica
IF:
5.9
Papers:
1.2W
Citations:
5.2W

Organization

A
Australian National University
Scholars:
2.1W
Papers: 2.3W
Citations: 3.9W
A
Australian Centre for Robotic Vision
Scholars:
49
Papers: 28
Citations: 725
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