Affiliation:
1. Moscow Institute of Physics and Technology
2. Keldysh Institute of Applied Mathematics RAS
Abstract
This work considers the problem of estimating the orientation and angular velocity of the object by image processing. To solve this problem, an approach based on the Extended Kalman filter (EKF), where the mesurements are the coordinates of the image points. The results showed a significatly accuracy increase for the angular velocity estimation. As for the rotation quaternion, there was no significant improvement with respect to the local methods.
Publisher
Keldysh Institute of Applied Mathematics
Reference18 articles.
1. Zhen S., Jie Y., Peng Y., Z. Cheng Angular velocity estimation in gyroscope-free inertial measurement system based on unscented kalman filter // World Congress on Intelligent Control and Automation (WCICA), Jinan, China, July, 7-9, 2010.
2. Dehghani M., Kharrati H., Seyedarabi H., Baradarannia M. Improvement of angular velocity and position estimation in gyro-free inertial navigation based on vision aid equipment // IET Computer Vision, 2018, Vol. 12, No. 3, P. 261-275.
3. Lei L., Shuguang S., Zijian Ch., Gang J., Mai J. Application for solving angular velocity with adaptive kalman filtering in GFSINS // Shenzhen, China, June, 6-8, 2011.
4. Szczęsna, A., Pruszowski, P. Model-based extended quaternion Kalman filter to inertial orientation tracking of arbitrary kinematic chains // SpringerPlus 5, November, 14, 2016.
5. Sabatini, A.M. Kalman-Filter-Based Orientation Determination Using Inertial/Magnetic Sensors: Observability Analysis and Performance Evaluation // Sensors 2011, 11, 9182-9206.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献