參考文獻合集

刘仔很忙發表於2024-11-16

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  2. C. Cadena et al., "Past present and future of simultaneous localization and mapping: Toward the robust-perception age", IEEE Trans. Robot., vol. 32, no. 6, pp. 1309-1332, Dec. 2016. [Sh.Liu:Visual-Inertial Navigation System (VINS)]

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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表一彙總方法]

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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.

  20. C. Forster, Z. Zhang, M. Gassner, M. Werlberger and D. Scaramuzza, "SVO: Semidirect visual odometry for monocular and multicamera systems", IEEE Trans. Robot., vol. 33, no. 2, pp. 249-265, Apr. 2017.

  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.

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