Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Reference21 articles.
1. [1] R.G. Brown, “A baseline GPS RAIM scheme and a note on the equivalence of three RAIM methods,” Navigation, vol.39, no.3, pp.301-316, Fall 1992. 10.1002/j.2161-4296.1992.tb02278.x
2. [2] T. Ozeki and N. Kubo, “GNSS NLOS signal classification based on machine learning and pseudorange residual check,” Frontiers in Robotics and AI, vol.9, pp.1-12, May 2022. 10.3389/frobt.2022.868608
3. [3] H. Xu, A. Angrisano, S. Gaglione, and L.-T. Hsu, “Machine learning based LOS/NLOS classifier and robust estimator for GNSS shadow matching,” Satellite Navigation, vol.1, no.15, pp.1-12, May 2020. 10.1186/s43020-020-00016-w
4. [4] R. Yozevitch, B.B. Moshe, and A. Weissman, “A robust GNSS LOS/NLOS signal classifier,” Navigation, vol.63, no.4, pp.429-442, Jan. 2017. 10.1002/navi.166
5. [5] G. Zhang, B. Xu, and L.T. Hsu, “GNSS shadow matching based on intelligent LOS/NLOS classifier,” Proc. 16th World Congr. of Int. Association of Institutes of Navigation, pp.1-7, Nov. 2018.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献