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A New Visual & Inertial Based Satellite Quality Evaluation Method

Published: 16 May 2023 Publication History

Abstract

Visual and inertial navigation have obvious complementarity in navigation accuracy, and the combined navigation of the two has excellent anti-interference ability. In this paper, a visual-inertial-based satellite quality evaluation method is proposed. This method can judge whether the GPS (Global Positioning System) is interfered by comparing the visual-inertial navigation information with the GPS data information in the geographic coordinate system. This method enables the UAV to quickly switch the navigation mode under the condition of being disturbed, which ensures that the navigation function is accurate and free from interference, and provides a more solid foundation for the navigation of the UAV and other platforms.

References

[1]
Durrant-Whyte H, Bailey T.: Simultaneous localization and mapping: part I. IEEE robotics & automation magazine, 13(2), 99-110 (2006).
[2]
Langley R. Nmea 0183: A gps receiver[J]. GPS world, 1995, 6(7): 54-57.
[3]
Balaei A T, Dempster A G. A statistical inference technique for GPS interference detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(4): 1499-1511
[4]
Saripalli S, Montgomery J, Sukharme G. Vision-Based Autonomous Landing of an Un-manned Aerial Vehicle. Processed of IEEE International Conference on Robotics and Auto-mation, 2799-2804 (2002).
[5]
Maarten Vergauwen, Marc Pollefefeys, Luc Van Gool. A Stere-Based System for Support-ed of Planetary Surface Exploration. Machine Vision and Applications, 14:5-14 (2003).
[6]
Engel J, Schöps T, Cremers D. LSD-SLAM: Large-scale direct monocular SLAM//European conference on computer vision. Springer, Cham, 834-849 (2014).
[7]
Mur-Artal R, Montiel J M M, Tardos J D. ORB-SLAM: a versatile and accurate monocular SLAM system. IEEE transactions on robotics, 31(5): 1147-1163 (2015).
[8]
Mur-Artal R, Tardós J D. Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras. IEEE transactions on robotics, 33(5): 1255-1262 (2017).
[9]
Qin T, Shen S. Robust initialization of monocular visual-inertial estimation on aerial robots//2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE: 4225-4232 (2017).
[10]
Yuelong Ma, Xuefeng Cao, Chen Ding, Bingchuan Jiang, Dengfeng Li, Gang Wan. A UAV video target localization method integrating monocular vision SLAM and GPS. Journal of Surveying and Mapping Science and Technology, 35(05):497-501 (2018).
[11]
Qin T, Peiliang, VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimato. IEEE Transactions on Robotics (2018).
[12]
Qin T, Shen S. Online temporal calibration for monocular visual-inertial systems//2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE: 3662-3669 (2018).
[13]
Qin T, Cao S, Pan J, A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors (2019).
[14]
Qin T, Pan J, Cao S, A general optimization-based framework for local odometry estimation with multiple sensors. arXiv preprint arXiv:1901.03638 (2019).
[15]
Welch G, Bishop G. An introduction to the Kalman filter (1995).
[16]
Yi Feng, Rui Tu, Junqiang Han, Furong Hou, Ju Hong, Jinhai Liu, Xingxing Wang. Navigation and positioning of binocular vision-assisted GNSS in harsh environments. Global Positioning System, 45(03):48-53 (2020).
[17]
Kun Yang, Suibin Huang, Hua Xiao, Kaiqing Luo. Real-time pose estimation of UAV aerial images. Computer Application Research: 1-7 (2021).
[18]
Campos C, Elvira R, Rodríguez J J G, Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam. IEEE Transactions on Robotics, 37(6): 1874-1890 (2021).
[19]
Cao S, Lu X, Shen S. GVINS: Tightly Coupled GNSS–Visual–Inertial Fusion for Smooth and Consistent State Estimation. IEEE Transactions on Robotics (2022).

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  1. A New Visual & Inertial Based Satellite Quality Evaluation Method

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    AIPR '22: Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition
    September 2022
    1221 pages
    ISBN:9781450396899
    DOI:10.1145/3573942
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 16 May 2023

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    Author Tags

    1. GPS Quality Evaluation
    2. Navigation
    3. SLAM
    4. VINS-Mono

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