Open Access
Volume 37, Number 2, April 2019
Page(s) 225 - 231
Published online 05 August 2019
  1. Zhu R, Sun D, Zhou Z, et al. A Linear Fusion Algorithm for Attitude Determination Using Low Cost Mems-Based Sensors[J]. Measurement, 2007, 40(3): 322–328 [Article] [CrossRef] [Google Scholar]
  2. Sasiadek J Z, Hartana P. Sensor Data Fusion Using Kalman Filter[C]//International Conference on Information Fusion, 2000: WED5/19-WED5/25 [Google Scholar]
  3. Valenti R G, Dryanovski I, Xiao JKeeping a Good Attitude:a Quaternion-Based Orientation Filter for IMUs and MARGs[J]. Sensors, 2015, 15(8): 19302–19330 [Article] [CrossRef] [Google Scholar]
  4. Choukroun D, Bar-Itzhack I Y, Oshman YNovel Quaternion Kalman Filter[J]. IEEE Transactions on Aerospace & Electronic Systems, 2006, 42(1): 174–190 [Article] [Google Scholar]
  5. Choukroun D, Baritzhack I Y, Oshman Y. A Novel Quaternion Kalman Filter[C]//AIAA Guidance, Navigation, and Control Conference and Exhibit, 2002 [Google Scholar]
  6. Sabatini A MQuaternion-Based Extended Kalman Filter for Determining Orientation by Inertial and Magnetic Sensing[J]. IEEE Transactions on Biomedical Engineering, 2006, 53(7): 1346–56 [Article] [CrossRef] [Google Scholar]
  7. Marins J L, Yun X, Bachmann E R, et al. An Extended Kalman Filter for Quaternion-Based Orientation Estimation Using Marg Sensors[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001 [Google Scholar]
  8. Sheng Hanlin, Zhang Tianhong, Liu DongdongLow-Cost AHRS Oesign Based on Extending Katmah Filter Systems Engineering and Electronics, 2013, 35(10): 2158–2164 (in Chinese) [Article] [Google Scholar]
  9. Makni A, Fourati H, Kibangou A Y. Adaptive Kalman Filter for MEMS-IMU Based Attitude Estimation under External Acceleration and Parsimonious USE of Gyroscopes[C]//Proceedings of the European Control Conferencelecc, Strasbowy France, 2014: 1379–1384 [Google Scholar]
  10. Euston M, Coote P, Mahony R, et al. A Complementary Filter for Attitude Estimation of a Fixed-Wing UAV[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008 [Google Scholar]
  11. Qin Yongyuan. Inertial Navigtion[M] 2nd Edition Beijing, Science Press, 2014 (in Chinese) [Google Scholar]
  12. Qin Yongyuan, Zhang Hongyue, Wang Shuhua. Kalman Filter and the Theory of Instegrated Navigation[M]. Xi'an, Northwestern Polythwestern University Press, 2012 (in Chinese) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.