Learning GNSS Positioning Corrections for Smartphones Using Graph Convolution Neural Networks

Author:

Mohanty Adyasha,Gao Grace

Publisher

Institute of Navigation

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Reference20 articles.

1. Beiber, D. (2019). Weisfeiler-Lehman isomorphism test. Online blog post. https://davidbieber.com/post/2019-05-10-weisfeiler-lehman-isomorphism-test/

2. Bochkati, M. , Sharma, H. , Lichtenberger, C. A. , & Pany, T. (2020). Demonstration of fused RTK (fixed) + inertial positioning using android smartphone sensors only. Proc. of the IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, OR, 1140–1154. https://www.doi.org/10.1109/PLANS46316.2020.9109865

3. Fey, M. , & Lenssen, J. E. (2019). Fast graph representation learning with PyTorch Geometric. Proc. of the International Conference on Learning Representations Workshop on Representation Learning on Graphs and Manifolds. New Orleans, LA. https://doi.org/10.48550/arXiv.1903.02428

4. Fu, G. M. , Khider, M. , & van Diggelen, F. (2020). Android raw GNSS measurement datasets for precise positioning. Proc. of the 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS + 2020), 1925–1937. https://doi.org/10.33012/2020.17628

5. Characteristics of raw multi-GNSS measurement error from Google Android smart devices;Guangcai;GPS Solutions,2019

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