Multi-sensor Data Fusion Using Adaptive Kalman Filter-Reference-Cited by-同舟云学术

Multi-sensor Data Fusion Using Adaptive Kalman Filter

Published:2020 Issue: Volume: Page:2314-2320
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Guo Yinjing,Zhang Manlin,Kang Fong,Yang Wenjian,Zhou Yujie

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-13-9409-6_280

Reference11 articles.

1. Fezzani R, Zerr B, Mansour A et al (2018) Fusion of Swath bathymetric data: application to AUV rapid environment assessment. J IEEE J Ocean Eng 99:1–10

2. Allibert G, Hua MD, Krupinski S et al (2019) Pipeline following by visual servoing for autonomous underwater vehicles. J Control Eng Pract 82:151–160

3. Fei J, Ding H (2010) System dynamics and adaptive control for MEMS gyroscope sensor. J Int J Adv Robot Syst 7(4):29

4. Hyde RA, Ketteringham LP, Neild SA et al (2008) Estimation of upper-limb orientation based on accelerometer and gyroscope measurements. J IEEE Trans Biomed Eng 55(2):746–754

5. Khaleghi B, Khamis A, Karray FO et al (2013) Multisensor data fusion: a review of the state-of-the-art. J Inf Fusion 14(1):28–44

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