[1] |
JIANG Z, GROVES P D. NLOS GPS signal detection using a dual-polarisation antenna [J]. GPS Solutions, 2014, 18(1): 15-26.
|
[2] |
BÉTAILLE D, PEYRET F, VOYER M, et al. Applying standard digital map data in map-aided, lane-level GNSS location [J]. Journal of Navigation, 2015, 68(5): 827-847.
|
[3] |
HSU L T, GU Y, KAMIJO S. 3D building model-based pedestrian positioning method using GPS/GLONASS/QZSS and its reliability calculation [J]. GPS Solutions, 2016, 20(3): 413-428.
|
[4] |
GU Y, HSU L T, KAMIJO S. GNSS/onboard inertial sensor integration with the aid of 3-D building map for lane-level vehicle self-localization in urban canyon [J]. IEEE Transactions on Vehicular Technology, 2016, 65(6): 4274-4287.
|
[5] |
BAUER S, OBST M, STREITER R, et al. Evaluation of shadow maps for non-line-of-sight detection in urban GNSS vehicle localization with VANETs: The GAIN approach [C]//2013 IEEE 77th Vehicular Technology Conference. Dresden, Germany: IEEE, 2013: 1-5.
|
[6] |
GROVES P D. Shadow matching: A new GNSS positioning technique for urban canyons [J]. The Journal of Navigation, 2011, 64(3): 417-430.
|
[7] |
WANG L, GROVES P D, ZIEBART M K. Smartphone shadow matching for better cross-street GNSS positioning in urban environments [J]. Journal of Navigation, 2015, 68(3): 411-433.
|
[8] |
YOZEVITCH R, MOSHE B B, LEVY H. Breaking the 1 meter accuracy bound in commercial GNSS devices [C]//2012 IEEE 27th Convention of the Electrical and Electronics Engineers in Israel. Eilat, Israel: IEEE, 2012: 1-5.
|
[9] |
SUZUKI T. Particle filter-based GNSS positioning with NLOS multipath detection [C]//31st International Technical Meeting of the Satellite Division of the Institute of Navigation. Miami, USA: ION, 2018: 24-28.
|
[10] |
SUZUKI T, NAKANO Y, AMANO Y. NLOS multipath detection by using machine learning in urban environments [C]//30th International Technical Meeting of the Satellite Division of the Institute of Navigation. Portland, USA: ION, 2017: 25-29.
|
[11] |
MUNIN E, BLAIS A, COUELLAN N. Convolutional neural network for multipath detection in GNSS receivers [C]//2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation. Singapore: IEEE, 2020: 1-10.
|
[12] |
SOCHAROENTUM M, KARIMI H A, DENG Y. A machine learning approach to detect non-line-ofsight GNSS signals in Nav2Nav [C]//23rd ITS World Congress. Melbourne, Australia: ITS, 2014: 10-14.
|
[13] |
YOZEVITCH R, MOSHE B B, WEISSMAN A. A robust GNSS LOS/NLOS signal classifier [J]. Navigation, 2016, 63(4): 429-442.
|
[14] |
HSU L T. GNSS multipath detection using a machine learning approach [C]// 2017 IEEE 20th International Conference on Intelligent Transportation Systems. Yokohama, Japan: IEEE, 2017: 1-6.
|
[15] |
COMANICIU D, MEER P. Mean shift: A robust approach toward feature space analysis [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619.
|
[16] |
SCARAMUZZA D, MARTINELLI A, SIEGWART R. A toolbox for easily calibrating omnidirectional cameras [C]//2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. Beijing: IEEE, 2006: 5695-5701.
|
[17] |
MAO X, WADA M, HASHIMOTO H. A nonlinear model for GPS positioning estimation using filter algorithms [J]. Journal of Shanghai Jiaotong University, 2004, 38(4): 610-615 (in Chinese).
|