Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

A Geometric Observer Design for Visual Localisation and Mapping

Loading...
Thumbnail Image

Date

Authors

van Goor, Pieter
Mahony, Robert
Hamel, Tarek
Trumpf, Jochen

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Abstract

This paper builds on recent work on Simultaneous Localisation and Mapping (SLAM) in the non-linear observer community, by framing the visual localisation and mapping problem as a continuous-time equivariant observer design problem on the symmetry group of a kinematic system. The state-space is a quotient of the robot pose expressed on SE (3) and multiple copies of real projective space, used to represent both points in space and bearings in a single unified framework. An observer with decoupled Riccati-gains for each landmark is derived and we show that its error system is almost globally asymptotically stable and exponentially stable in-the-large.

Description

Keywords

Citation

Source

Proceedings of the 58th IEEE Conference on Decision and Control, CDC 2019

Book Title

Entity type

Access Statement

License Rights

Restricted until

2099-12-31
abcd