• Acta Optica Sinica
  • Vol. 43, Issue 21, 2112003 (2023)
Xinxin Huang, Yongjie Ren*, Keyao Ma, and Zhiyuan Niu
Author Affiliations
  • State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China
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    DOI: 10.3788/AOS230851 Cite this Article Set citation alerts
    Xinxin Huang, Yongjie Ren, Keyao Ma, Zhiyuan Niu. Visual-Inertial Adaptive Fusion Algorithm Based on Measurement Uncertainty[J]. Acta Optica Sinica, 2023, 43(21): 2112003 Copy Citation Text show less
    References

    [1] Yin S B, Ren Y J, Liu T et al. Review on application of machine vision in modern automobile manufacturing[J]. Acta Optica Sinica, 38, 0815001(2018).

    [2] Wei Z Z, Feng G K, Zhou D Y et al. Summary of position and attitude vision measurement methods and applications[J]. Laser & Optoelectronics Progress, 60, 0312010(2023).

    [3] Guo J H, Chen X W, Wang Y. A review of visual inertial SLAM research development[J]. Fire Control & Command Control, 46, 1-8(2021).

    [4] Sun K, Mohta K, Pfrommer B et al. Robust stereo visual inertial odometry for fast autonomous flight[J]. IEEE Robotics and Automation Letters, 3, 965-972(2018).

    [5] Chu J K, Hu H P, Wan Z H et al. Visual inertial navigation system aided by polarized light[J]. Laser & Optoelectronics Progress, 60, 0726002(2023).

    [6] Wang B C, Huang S H, Yi B et al. State-of-art of human factors/ergonomics in intelligent manufacturing[J]. Journal of Mechanical Engineering, 56, 240-253(2020).

    [7] Xu Q Y. Integral calibration method of multi-camera visual positioning system for integrated measurement[D](2018).

    [8] Male J, Martinez-Hernandez U. Recognition of human activity and the state of an assembly task using vision and inertial sensor fusion methods[C], 919-924(2021).

    [9] Si S B, Zhao D W, Xu W Y et al. Review on visual-inertial navigation and positioning technology[J]. Journal of Image and Graphics, 26, 1470-1482(2021).

    [10] Qin T, Li P L, Shen S J. VINS-mono: a robust and versatile monocular visual-inertial state estimator[J]. IEEE Transactions on Robotics, 34, 1004-1020(2018).

    [11] Campos C, Elvira R, Rodríguez J J G et al. ORB-SLAM3: an accurate open-source library for visual, visual-inertial, and multimap SLAM[J]. IEEE Transactions on Robotics, 37, 1874-1890(2021).

    [12] Leutenegger S, Lynen S, Bosse M et al. Keyframe-based visual-inertial odometry using nonlinear optimization[J]. The International Journal of Robotics Research, 34, 314-334(2015).

    [13] Li M Y, Mourikis A I. High-precision, consistent EKF-based visual-inertial odometry[J]. The International Journal of Robotics Research, 32, 690-711(2013).

    [14] Bloesch M, Omari S, Hutter M et al. Robust visual inertial odometry using a direct EKF-based approach[C], 298-304(2015).

    [15] Weiss S M. Vision based navigation for micro helicopters[D](2012).

    [16] Lynen S, Achtelik M W, Weiss S et al. A robust and modular multi-sensor fusion approach applied to MAV navigation[C], 3923-3929(2014).

    [17] Zhang L L, Qu H, Mao J et al. Review on the development of vision/inertial integrated navigation technology[J]. Navigation Positioning and Timing, 7, 50-63(2020).

    [18] Wang X Y, Zhu Z M, Zhou F Q et al. Complete calibration of a structured light stripe vision sensor through a single cylindrical target[J]. Optics and Lasers in Engineering, 131, 106096(2020).

    [19] Zhu Z M, Liu Q X, Wang X Y et al. Distortion correction method of a zoom lens based on the vanishing point geometric constraint[J]. Measurement Science and Technology, 30, 105402(2019).

    [20] Zhu Z M, Wang X Y, Liu Q X et al. Camera calibration method based on optimal polarization angle[J]. Optics and Lasers in Engineering, 112, 128-135(2019).

    [21] Eckenhoff K, Geneva P, Bloecker J et al. Multi-camera visual-inertial navigation with online intrinsic and extrinsic calibration[C], 3158-3164(2019).

    [22] Furgale P, Rehder J, Siegwart R. Unified temporal and spatial calibration for multi-sensor systems[C], 1280-1286(2014).

    [23] Ma K Y, Ren Y J, Lin J R et al. High-precision integrated calibration method for position and attitude of visual inertial system[J]. Laser & Optoelectronics Progress, 60, 0312021(2023).

    [24] Niu Z Y, Yang L H, Ren Y J et al. Robust 6DOF measurement for non-overlapping multi-camera systems based on uncertainty-weighted space resection[J]. Proceedings of SPIE, 11439, 114391I(2020).

    [25] Madyastha V, Ravindra V, Mallikarjunan S et al. Extended Kalman filter vs. error state Kalman filter for aircraft attitude estimation[C], 6615(2011).

    Xinxin Huang, Yongjie Ren, Keyao Ma, Zhiyuan Niu. Visual-Inertial Adaptive Fusion Algorithm Based on Measurement Uncertainty[J]. Acta Optica Sinica, 2023, 43(21): 2112003
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