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Yuanxin Pan
Yuanxin Pan
在 ethz.ch 的电子邮件经过验证
标题
引用次数
引用次数
年份
PRIDE PPP-AR: an open-source software for GPS PPP ambiguity resolution
J Geng, X Chen, Y Pan, S Mao, C Li, J Zhou, K Zhang
GPS solutions 23, 1-10, 2019
1632019
A modified phase clock/bias model to improve PPP ambiguity resolution at Wuhan University
J Geng, X Chen, Y Pan, Q Zhao
Journal of Geodesy 93, 2053-2067, 2019
1162019
Noise characteristics of high‐rate multi‐GNSS for subdaily crustal deformation monitoring
J Geng, Y Pan, X Li, J Guo, J Liu, X Chen, Y Zhang
Journal of Geophysical Research: Solid Earth 123 (2), 1987-2002, 2018
742018
Estimation of tropospheric parameters with GNSS smartphones in a differential approach
R Stauffer, R Hohensinn, IDH Pinzón, G Moeller, Y Pan, G Kłopotek, ...
Measurement Science and Technology 34 (9), 095126, 2023
72023
Evaluation of rapid phase clock/bias products for PPP ambiguity resolution and its application to the M7. 1 2019 Ridgecrest, California earthquake
Y Pan, J Geng, K Liu, X Chen, R Fang
Advances in Space Research 65 (11), 2586-2594, 2020
62020
Tightly coupled integration of monocular visual-inertial odometry and UC-PPP based on factor graph optimization in difficult urban environments
C Pan, F Li, Y Pan, Y Wang, B Soja, Z Li, J Gao
GPS Solutions 28 (1), 45, 2024
52024
Machine learning-based multipath modeling in spatial domain applied to GNSS short baseline processing
Y Pan, G Möller, B Soja
GPS Solutions 28 (1), 9, 2024
42024
Performance analysis of multi-gnss precise point positioning
J Guo, X Li, X Chen, J Geng, Q Wen, YX Pan
China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume III …, 2017
42017
A Cloud-native Approach for Processing of Crowdsourced GNSS Observations and Machine Learning at Scale: A Case Study from the CAMALIOT Project
G Kłopotek, Y Pan, T Sturn, R Weinacker, L See, L Crocetti, M Awadaljeed, ...
Advances in Space Research, 2024
22024
Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project
L See, B Soja, G Kłopotek, T Sturn, R Weinacker, S Karanam, I Georgieva, ...
International Journal of Digital Earth 16 (1), 2818-2841, 2023
22023
Machine learning-based exploitation of crowdsourced GNSS data for atmospheric studies
B Soja, G Kłopotek, Y Pan, L Crocetti, S Mao, M Awadaljeed, M Rothacher, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
22023
Combining multi-GNSS phase bias products for improved undifferenced ambiguity resolution
J Geng, Y Pan, S Yang, P Li
EGU General Assembly Conference Abstracts, EGU21-2531, 2021
22021
Global Ionospheric Modeling Using Multi-GNSS: A Machine Learning Approach
S Mao, G Kłopotek, Y Pan, B Soja
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024
12024
Machine learning-based multipath modelling in spatial-domain: a demonstration on GNSS short baseline processing
Y Pan, G Möller, B Soja
12023
Determination of high-precision tropospheric delays using crowdsourced smartphone GNSS data
Y Pan, G Kłopotek, L Crocetti, R Weinacker, T Sturn, L See, G Dick, ...
Atmospheric Measurement Techniques 17 (14), 4303-4316, 2024
2024
Assessment of Drone-based GNSS ZTDs for Data Assimilation and Weather Forecasting
Z Zhang, L Mengjie, Y Pan, B Soja
IGS Symposium & Workshop, 2024
2024
Non-line-of-sight GNSS Signal Classification for Urban Navigation Using Machine Learning
Y Pan, L Icking, F Ruwisch, S Schön, B Soja
EGU24, 2024
2024
Can Android Smartphones Contribute to GNSS Meteorology?
Y Pan, T Bialek, B Soja
IGS Symposium & Workshop, 2024
2024
Tropospheric Delay Estimation with Crowdsourced Smartphone GNSS Data
Y Pan, G Klopotek, L Crocetti, R Weinacker, T Sturn, L See, G Dick, ...
Swiss Geoscience Meeting 2023, 2023
2023
VIO-PPP: visual-inertial-odometry-aided multi-GNSS PPP navigation and positioning system based on factor graph optimization
C Pan, B Soja, Z Li, Y Pan, F Li, Y Wang, J Gao
XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023
2023
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