State transformation extended Kalman filter for GPS/SINS tightly coupled integration-Reference-Cited by-同舟云学术

State transformation extended Kalman filter for GPS/SINS tightly coupled integration

Published:2018-08-17 Issue:4 Volume:22 Page:
ISSN:1080-5370
Container-title:GPS Solutions
language:en
Short-container-title:GPS Solut

Author:

Wang Maosong^ORCID,Wu Wenqi,Zhou Peiyuan,He Xiaofeng

Funder

National University of Defense Technology

China Scholarship Council

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

http://link.springer.com/article/10.1007/s10291-018-0773-3/fulltext.html

Reference24 articles.

1. Barfoot TD (2017) State estimation for robotics. Cambridge University Press, Cambridge

2. Barrau A, Bonnabel S (2017) The invariant extended Kalman filter as a stable observer. IEEE Trans Autom Control 62(4):1797–1812

3. Bonnabel S (2012) Symmetries in observer design: review of some recent results and applications to EKF-based SLAM. Robot motion and control. Springer, London, pp 3–15

4. Bonnabel S, Salaün E (2011) Design and prototyping of a low-cost vehicle localization system with guaranteed convergence properties. Control Eng Pract 19(6):591–601

5. Bonnabel S, Martin P, Rouchon P (2008) Symmetry-preserving observers. IEEE Trans Autom Control 53(11):2514–2526

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