Journal
AUTOMATICA
Volume 132, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2021.109803
Keywords
Equivariant observer; Visual odometry (VO); Simultaneous Localisation and Mapping (SLAM)
Funding
- Australian Research Council through the Australian Centre of Excellence for Robotic Vision'' [CE140100016]
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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, leading to the design of a non-linear observer with almost semi-globally asymptotically stable error dynamics. Experimental results demonstrate the performance of the proposed observer is promising.
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.
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