EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 297 (2021) E3S Web Conf., 297 (2021) 01040 References
Open Access
Issue
E3S Web Conf.
Volume 297, 2021
The 4th International Conference of Computer Science and Renewable Energies (ICCSRE'2021)
Article Number 01040
Number of page(s) 10
DOI https://doi.org/10.1051/e3sconf/202129701040
Published online 22 September 2021
  1. Ryu, J. H., Gankhuyag, G., & Chong, K. T. (2016). Navigation system heading and position accuracy improvement through GPS and INS data fusion. Journal of Sensors, 2016. [Google Scholar]
  2. Abdolkarimi, E. S., & Mosavi, M. R. (2020). Waveletadaptive neural subtractive clustering fuzzy inference system to enhance low-cost and high-speed INS/GPS navigation system. GPS Solutions, 24(2), 1–17. [Google Scholar]
  3. Herlambang, T., & Nurhadi, H. (2020, May). Navigation and guidance control system of UNUSAITS AUV based on dynamical system using ensemble kalman filter square root. In Journal of Physics: Conference Series (Vol. 1538, No. 1, p. 012030). IOP Publishing. [Google Scholar]
  4. Kahn, G., Abbeel, P., & Levine, S. (2021). Badgr: An autonomous self-supervised learning-based navigation system. IEEE Robotics and Automation Letters, 6(2), 1312–1319. [Google Scholar]
  5. Goshen-Meskin, D.R.O.R.A., & Bar-Itzhack, I.Y. (1992). Observability analysis of piece-wise constant systems. II. Application to inertial navigation inflight alignment (military applications). IEEE Transactions on Aerospace and Electronic systems, 28(4), 1068–1075. [Google Scholar]
  6. Tazartes, D. (2014, February). An historical perspective on inertial navigation systems. In 2014 international symposium on inertial sensors and systems (ISISS) (pp. 1–5). IEEE. [Google Scholar]
  7. Kawano, K., Kobashi, S., Yagi, M., Kondo, K., Yoshiya, S., & Hata, Y. (2007, April). Analyzing 3D knee kinematics using accelerometers, gyroscopes and magnetometers. In 2007 IEEE International Conference on System of Systems Engineering (pp. 1–6). IEEE. [Google Scholar]
  8. Yurtman, A., & Barshan, B. (2019). Novel Noniterative Orientation Estimation for Wearable Motion Sensor Units Acquiring Accelerometer, Gyroscope, and Magnetometer Measurements. IEEE Transactions on Instrumentation and Measurement, 69(6), 3206–3215. [Google Scholar]
  9. Hofmann-Wellenhof, B., Lichtenegger, H., & Wasle, E. (2007). GNSS-global navigation satellite systems: GPS, GLONASS, Galileo, and more. Springer Science & Business Media. [Google Scholar]
  10. Li, M., Qu, L., Zhao, Q., Guo, J., Su, X., & Li, X. (2014). Precise point positioning with the BeiDou navigation satellite system. Sensors, 14(1), 927–943. [CrossRef] [Google Scholar]
  11. Jimenez, A. R., Seco, F., Prieto, C., & Guevara, J. (2009, August). A comparison of pedestrian deadreckoning algorithms using a low-cost MEMS IMU. In 2009 IEEE International Symposium on Intelligent Signal Processing (pp. 37–42). IEEE. [Google Scholar]
  12. Ghasemi-Moghadam, S., & Homaeinezhad, M. R. (2018). Attitude determination by combining arrays of MEMS accelerometers, gyros, and magnetometers via quaternion-based complementary filter. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 31(3), e2282. [Google Scholar]
  13. Neusypin, K., Selezneva, M., & Proletarsky, A. (2019, February). Nonlinear information processing algorithm for navigation complex with increased degree of parametric identifiability. In International Conference on Information Technologies (pp. 37–49). Springer, Cham. [Google Scholar]
  14. Jiang, W., Li, Y., & Rizos, C. (2015). Optimal data fusion algorithm for navigation using triple integration of PPP-GNSS, INS, and terrestrial ranging system. IEEE Sensors Journal, 15(10), 5634–5644. [Google Scholar]
  15. Fossen, T. I. (2011). Handbook of marine craft hydrodynamics and motion control. John Wiley & Sons. [Google Scholar]
  16. Falco, G., Pini, M., & Marucco, G. (2017). Loose and tight GNSS/INS integrations: Comparison of performance assessed in real urban scenarios. Sensors, 17(2), 255. [Google Scholar]
  17. LSM6DS3 - iNEMO 6DoF inertial measurement unit (IMU), for consumer electronics - STMicroelectronics [web document], n.d. URL https://www.st.com/en/mems-and-sensors/lsm6ds3.html (accessed 05.01.21). [Google Scholar]
  18. AK09918 - AKM Semiconductor Inc. - Magnetic Sensors - Linear, Compass (ICs) | Online Catalog | DigiKey Electronics [web document], n.d. URL https://www.digikey.com/catalog/en/partgroup/ak09918/70323 (accessed 05.01.21). [Google Scholar]
  19. Savage, P. G. (1998). Strapdown inertial navigation integration algorithm design part 1: Attitude algorithms. Journal of guidance, control, and dynamics, 21(1), 19–28. [Google Scholar]
  20. Farrell, J. (2008). Aided navigation: GPS with high rate sensors. McGraw-Hill, Inc. [Google Scholar]
  21. Sorenson, H. W. (Ed.). (1985). Kalman filtering: theory and application. IEEE. [Google Scholar]
  22. Han, X., Kim, H. J., Jeon, C. W., Moon, H. C., & Kim, J. H. (2017). Development of a low-cost GPS/INS integrated system for tractor automatic navigation. International Journal of Agricultural and Biological Engineering, 10(2), 123–131. [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.