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Research ArticleOriginal Article
Open Access

Accurate Covariance Estimation for Pose Data From Iterative Closest Point Algorithm

Rick H. Yuan, Clark N. Taylor, and Scott L. Nykl
NAVIGATION: Journal of the Institute of Navigation June 2023, 70 (2) navi.562; DOI: https://doi.org/10.33012/navi.562
Rick H. Yuan
Electrical and Computer Engineering, Air Force Institute of Technology, Ohio, USA
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Clark N. Taylor,
Electrical and Computer Engineering, Air Force Institute of Technology, Ohio, USA
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  • For correspondence: [email protected] [email protected]
Scott L. Nykl
Electrical and Computer Engineering, Air Force Institute of Technology, Ohio, USA
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Article Information

vol. 70 no. 2 navi.562
DOI 
https://doi.org/10.33012/navi.562

Published By 
Institute of Navigation
Print ISSN 
0028-1522
Online ISSN 
2161-4296
History 
  • Received June 8, 2021
  • Revision received June 27, 2022
  • Accepted July 23, 2022
  • Published online March 13, 2023.

Copyright & Usage 
© 2023 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

  1. Rick H. Yuan,
  2. Clark N. Taylor,⇑ and
  3. Scott L. Nykl
  1. Electrical and Computer Engineering, Air Force Institute of Technology, Ohio, USA
  1. Correspondence
    Clark Taylor, Email: clark.taylor.3{at}au.af.edu/clark.n.taylor{at}gmail.com
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NAVIGATION: Journal of the Institute of Navigation: 70 (2)
NAVIGATION: Journal of the Institute of Navigation
Vol. 70, Issue 2
Summer 2023
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Accurate Covariance Estimation for Pose Data From Iterative Closest Point Algorithm
Rick H. Yuan, Clark N. Taylor,, Scott L. Nykl
NAVIGATION: Journal of the Institute of Navigation Jun 2023, 70 (2) navi.562; DOI: 10.33012/navi.562

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Accurate Covariance Estimation for Pose Data From Iterative Closest Point Algorithm
Rick H. Yuan, Clark N. Taylor,, Scott L. Nykl
NAVIGATION: Journal of the Institute of Navigation Jun 2023, 70 (2) navi.562; DOI: 10.33012/navi.562
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    • Abstract
    • 1 INTRODUCTION
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  • Low-Cost, Triple-Frequency, Multi-GNSS PPP and MEMS IMU Integration for Continuous Navigation in Simulated Urban Environments
  • Probabilistic Map Matching for Robust Inertial Navigation Aiding
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Keywords

  • covariance estimation
  • ICP
  • iterative closest point
  • uncertainty estimation

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