参考文献合集

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   [Sh.Liu:4,6,7,8: GVINS]

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   [Sh.Liu:9 10 11 12 13 14 15 16 6 7 4 8表一汇总方法]

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14. W. Wen, T. Pfeifer, X. Bai and L.-T. Hsu, "Factor graph optimization for GNSS/INS integration: A comparison with the extended kalman filter", Navigation, vol. 68, no. 2, pp. 315-331, 2021.

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    [Sh.Liu:Unlike GNSS, the state estimation problem for visual navigation can be categorized as either filter-based methods [17], [18] or optimization-based methods [19], [20], [21].]

19. S. Leutenegger, S. Lynen, M. Bosse, R. Siegwart and P. Furgale, "Keyframe-based visual–inertial odometry using nonlinear optimization", Int. J. Robot. Res., vol. 34, no. 3, pp. 314-334, 2015.

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21. T. Qin, P. Li and S. Shen, "VINS-Mono: A robust and versatile monocular visual-inertial state estimator", IEEE Trans. Robot., vol. 34, no. 4, pp. 1004-1020, Aug. 2018.

22. S. Agarwal, K. Mierle and T. C. S. Team, "Ceres solver", 2022, [online] Available: https://github.com/ceres-solver/ceres-solver. [Sh.Liu:Ceres Solver [22] for solving such LSQ problem]

23. T. Takasu and A. Yasuda, "Development of the low-cost RTK-GPS receiver with an open source program package RTKLIB", Proc. Int. Symp. GPS/GNSS, vol. 1, pp. 1-6, 2009.

24. X. W. Chang, X. Yang and T. Zhou, "MLAMBDA: A modified LAMBDA method for integer least-squares estimation", J. Geodesy, vol. 79, pp. 552-565, 2005.[Sh.Liu:MLAMBDA [24] algorithm to solve integer ambiguities]

25. L.-T. Hsu et al., "Hong Kong UrbanNav: An open-source multisensory dataset for benchmarking urban navigation algorithms", Navigation, vol. 70, no. 4, 2023, [online] Available: https://navi.ion.org/content/70/4/navi.602.abstract.