Case study of Bayesian RAIM algorithm integrated with Spatial Feature Constraint and Fault Detection and Exclusion algorithms for multi-sensor positioning

Jelena Gabela; Allison Kealy; Mark Hedley; Bill Moran

doi:10.1002/navi.433

Article Information

vol. 68 no. 2 333-351

DOI

https://doi.org/10.1002/navi.433

Published By

Institute of Navigation

Print ISSN

0028-1522

Online ISSN

2161-4296

History

Received June 25, 2020
Revision received March 30, 2021
Accepted April 16, 2021
Published online June 10, 2021.

Copyright © 2021 Institute of Navigation This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Author Information

Jelena Gabela¹,² ⇑,
Allison Kealy²,
Mark Hedley³ and
Bill Moran¹

¹Department of Electrical and Electronic Engineering, University of Melbourne, Victoria, Australia
²Department of Geospatial Science, Royal Melbourne Institute of Technology, Victoria, Australia
³Data 61, Commonwealth Scientific and Industrial Research Organisation, New South Wales, Australia

Correspondence
: Jelena Gabela, Department of Electrical and Electronic Engineering, University of Melbourne, Victoria, Australia. Email: jelena.gabela{at}rmit.edu.au

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