Research on localization and navigation methods for intelligent terminal devices oriented to multi-source fusion technology

[1] Zhang, W., Xin, Q., Lv, Z., Hou, J., & Bai, W. (2018). Cooperative navigation control for tractors queue based on the leader-follower structure. International Agricultural Engineering Journal, 27(1), 28-33. Search in Google Scholar

[2] Edwards, J. (2017). New directions in navigation and positioning: signal processing-enabled technologies pinpoint people, places, and things [special reports]. IEEE Signal Processing Magazine, 34(3), 10-13. Search in Google Scholar

[3] Xuan, Y., Xie, J., Tang, C., & Li, J. (2017). Research on the indoor positioning and navigation system based on rfid and wi-fi. C e Ca, 42(1), 215-222. Search in Google Scholar

[4] Klatt, C., & Johnson, P. (2017). A survey of surveys: the canadian spatial reference system precise point positioning service. Geomatica, 71(1), 27-36. Search in Google Scholar

[5] Xu, Q., & Liang, N. (2017). Design of intelligent logistics system based on gps and internet of things. Boletin Tecnico/Technical Bulletin, 55(13), 704-712. Search in Google Scholar

[6] Oliveira, L. B., Zapella, M., & Hunt, R. (2018). Global positioning system and global navigation satellite system constellations for better time synchronising reliability. The Journal of Engineering, 2018(15), 935-937. Search in Google Scholar

[7] Luo, C., Fan, X., Ni, J., Yang, H., Zhang, X., & Li, W. (2017). Positioning accuracy evaluation for the collaborative automation of mining fleet with the support of memory cutting technology. IEEE Access, 4, 5764-5775. Search in Google Scholar

[8] Guo, S., & Li, G. (2017). Design of electronic chart display and information system based ship intelligent positioning and navigation system. Acta Technica CSAV (Ceskoslovensk Akademie Ved), 62(3), 1-8. Search in Google Scholar

[9] Strutynskyi, S. V. (2018). Defining the dynamic accuracy of positioning of spatial drive systems through consistent analysis of processes of different range of performance. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu(3), 64-73. Search in Google Scholar

[10] Moussa, K. H. (2021). An intelligent combined visual navigation brain model/gps/mems–ins/adsfcf method to develop vehicle independent guidance solutions. Micromachines, 12.718 Search in Google Scholar

[11] Qu, Y. (2017). Unmanned aerial vehicle (uav) intelligent wayfinding system based on inertial navigation technology. Acta Technica CSAV (Ceskoslovensk Akademie Ved), 62(2), 273-282. Search in Google Scholar

[12] Cui, J., & Zhang, F. (2020). Design and development of gps navigation and positioning system based on autocad platform. Computer-Aided Design and Applications, 18(S3), 46-57. Search in Google Scholar

[13] Yu, L., Kong, D., Shao, X., & Yan, X. (2018). A path planning and navigation control system design for driverless electric bus. IEEE Access, 6, 53960-53975. Search in Google Scholar

[14] Kamel, G. S., Rosdiadee, N., Mahmood, J. A., Mahmood, J. H., & Mahamod, I. (2018). Adaptive neural fuzzy inference system for accurate localization of wireless sensor network in outdoor and indoor cycling applications. IEEE Access, 6, 38475-38489. Search in Google Scholar

[15] Zhu, H., Sun, F., & Yu, X. (2017). Accurate decision model of technology enterprise system based on multi-source real-time information fusion. Boletin Tecnico/Technical Bulletin, 55(7), 341-348. Search in Google Scholar

[16] Yeong, D. J., Velasco-Hernandez, G., Barry, J., & Walsh, J. (2021). Sensor and sensor fusion technology in autonomous vehicles: a review. Sensors, 21(6), 2140. Search in Google Scholar

[17] Zhang, B. (2017). Chaotic time series prediction based on the fusion of multi-source collaborative data feature constraints. Acta Technica CSAV (Ceskoslovensk Akademie Ved), 62(1), 325-336. Search in Google Scholar

[18] Zanni, L., Boudec, J., Cherkaoui, R., & Paolone, M. (2017). A prediction-error covariance estimator for adaptive kalman filtering in step-varying processes: application to power-system state estimation. IEEE Transactions on Control Systems Technology, 1683-1697 Search in Google Scholar

[19] Zhao, S., Shmaliy, Y. S., Ahn, C. K., & Liu, F. (2017). Adaptive-horizon iterative ufir filtering algorithm with applications. IEEE Transactions on Industrial Electronics, 6393-6402 Search in Google Scholar

[20] Luo, H., Li, Y., Wang, J., Weng, D., & Chen, W. (2021). Integration of gnss and ble technology with inertial sensors for real-time positioning in urban environments. IEEE Access, 9, 15744-15763. Search in Google Scholar

[21] Wang, K. (2017). A radar ranging algorithm based on multi-target fuzzy positioning of particle swarm optimization. Boletin Tecnico/Technical Bulletin, 55(19), 491-497. Search in Google Scholar

[22] Luo, M., Hao, Z., & Zhu, Y. (2019). Intelligent eccm technology via cognition and agility for the airborne radar. The Journal of Engineering, 2019(20), 6656-6659. Search in Google Scholar

[23] Liu, X., Yang, T., Chen, H., & Qiu, T. Z. (2022). Research on roadside unit-assisted cooperative positioning method for a connected vehicle environment. Transportation Research Record. 78-90 Search in Google Scholar