A Novel Hybrid Attitude Fusion Method Based on LSTM Neural Network for Unmanned Aerial Vehicle
Author:
Affiliation:
1. University of Science and Technology of China,School of Nano-Tech and Nano-Bionics,China
2. Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China
Funder
Research and Development
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9739207/9739208/09739330.pdf?arnumber=9739330
Reference26 articles.
1. Algorithm for 3D orientation estimation based on Kalman Filter and Gradient Descent
2. Attitude Estimation Algorithm of Motion Acceleration Restrained with Dynamic Step Gradient Descent;zheng;Information and Control,2017
3. A Double-Stage Kalman Filter for Orientation Tracking With an Integrated Processor in 9-D IMU
4. EKF based multiple-mode attitude estimator for quadrotor using inertial measurement unit
5. Effective Adaptive Kalman Filter for MEMS-IMU/Magnetometers Integrated Attitude and Heading Reference Systems
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