XueYong Wu
ABSTRACT
Exact attitude estimation of an unmanned aerial vehicle (UAV) is the critical requirement for an autonomous and stable flight. Under dynamic conditions, the autopilot of a UAV cannot complete self-alignment and calculate its accurate attitude only by relying on an inertial measurement unit (IMU). This paper presents a dynamical alignment and estimation method for the horizontal attitude (the pitch and roll Euler angle) based on vision and inertial measurement units (IMU). Firstly, the horizontal attitude is estimated through image information of a visible light camera (hereinafter referred to as visual pose), and is used as the initial alignment input for IMU. Then the visual pose is corrected according to the normalized accelerometer output when UAV is stationary. Finally, Sage-Husa Adaptive Kalman Filter (SHAKF) is used for the fusion of the visual pose and the inertial attitude (the attitude calculated by the IMU). The simulation results show that the maximum estimation error of the UAV's horizontal attitude is within 3°, and the average estimation absolute error is less than 1°, which verifies the effectiveness of this method.
- Kada, B., Munawar, K., Shaikh, M. S., Hussaini, M. A., & Al-Saggaf, U. M. (2016). UAV attitude estimation using nonlinear filtering and low-cost mems sensors. IFAC-PapersOnLine, 49(21), 521-528.Google Scholar
Cross Ref
- Rafatnia, S., Nourmohammadi, H., Keighobadi, J., & Badamchizadeh, M. A. (2018). In-move aligned SINS/GNSS system using recurrent wavelet neural network (RWNN)-based integration scheme. Mechatronics, 54, 155-165.Google ScholarCross Ref
- Kong, X. (2004). INS algorithm using quaternion model for low cost IMU. Robotics and Autonomous Systems, 46(4), 221-246.Google ScholarCross Ref
- Ali, J., & Ushaq, M. (2009). A consistent and robust Kalman filter design for in-motion alignment of inertial navigation system. Measurement, 42(4), 577-582.Google ScholarCross Ref
- Wang, D., Lv, H., & Wu, J. (2017). In-flight initial alignment for small UAV MEMS-based navigation via adaptive unscented Kalman filtering approach. Aerospace Science and Technology, 61, 73-84.Google ScholarCross Ref
- Madeiras, J., Cardeira, C., & Oliveira, P. (2019). Vision-Aided Complementary Filter for Attitude and Position Estimation: Design, Analysis and Experimental Validation. IFAC-PapersOnLine, 52(12), 388-393.Google ScholarCross Ref
- Mondragón, I. F., Campoy, P., Martinez, C., & Olivares, M. (2010). Omnidirectional vision applied to Unmanned Aerial Vehicles (UAVs) attitude and heading estimation. Robotics and Autonomous Systems, 58(6), 809-819.Google ScholarDigital Library
- Bazin, J. C., Kweon, I., Demonceaux, C., & Vasseur, P. (2007). UAV attitude estimation by combining horizon-based and homography-based approaches for catadioptric images. IFAC Proceedings Volumes, 40(15), 192-196.Google ScholarCross Ref
- Tehrani, M. H., Garratt, M. A., & Anavatti, S. (2012). Horizon-based attitude estimation from a panoramic vision sensor. IFAC Proceedings Volumes, 45(1), 185-188.Google ScholarCross Ref
- Nourmohammadi, H., & Keighobadi, J. (2018). Fuzzy adaptive integration scheme for low-cost SINS/GPS navigation system. Mechanical Systems and Signal Processing, 99, 434-449.Google ScholarCross Ref
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