This work is licensed under the Creative Commons Attribution 4.0 International License.
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
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
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
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
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
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
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
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
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
Moussa, K. H. (2021). An intelligent combined visual navigation brain model/gps/mems–ins/adsfcf method to develop vehicle independent guidance solutions. Micromachines, 12.718Search in Google Scholar
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
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
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
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
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
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
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
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, 1683-1697Search in Google Scholar
Zhao, S., Shmaliy, Y. S., Ahn, C. K., & Liu, F. (2017). Adaptive-horizon iterative ufir filtering algorithm with applications. IEEE Transactions on Industrial Electronics, 6393-6402Search in Google Scholar
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
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
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
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. 78-90Search in Google Scholar