Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter
Author:
Affiliation:
1. Hong Kong Polytechnic University Hung Hom Hong Kong
2. Chemnitz University of Technology Chemnitz Germany
Publisher
Institute of Navigation
Subject
Electrical and Electronic Engineering,Aerospace Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/navi.421
Reference51 articles.
1. Angrisano A.(2010).GNSS/INS integration methods. (Dottorato di ricerca (PhD) in Scienze Geodetiche e Topografiche Thesis). Universita'degli Studi di Napoli PARTHENOPE Naples.
2. State Estimation for Robotics
3. The iterated Kalman filter update as a Gauss-Newton method
4. Bhamidipati S.&Gao Grace Xingxin. (2018).Multiple GPS fault detection and isolation using a graph‐SLAM framework.Proc. of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2018) Miami FL.https://doi.org/10.33012/2018.16030.
5. Probabilistic graphical fusion of LiDAR, GPS, and 3D building maps for urban UAV navigation
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