Research ArticleOriginal Article
Open Access
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 and Bill Moran
NAVIGATION: Journal of the Institute of Navigation June 2021, 68 (2) 333-351; DOI: https://doi.org/10.1002/navi.433
Jelena Gabela
1Department of Electrical and Electronic Engineering, University of Melbourne, Victoria, Australia
2Department of Geospatial Science, Royal Melbourne Institute of Technology, Victoria, Australia
Allison Kealy
2Department of Geospatial Science, Royal Melbourne Institute of Technology, Victoria, Australia
Mark Hedley
3Data 61, Commonwealth Scientific and Industrial Research Organisation, New South Wales, Australia
Bill Moran
1Department of Electrical and Electronic Engineering, University of Melbourne, Victoria, Australia
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In this issue
NAVIGATION: Journal of the Institute of Navigation
Vol. 68, Issue 2
Summer 2021
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
NAVIGATION: Journal of the Institute of Navigation Jun 2021, 68 (2) 333-351; DOI: 10.1002/navi.433
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
NAVIGATION: Journal of the Institute of Navigation Jun 2021, 68 (2) 333-351; DOI: 10.1002/navi.433
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