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Name: hayf
Type: User
Name: hayf
Type: User
使用粒子群算法优化的RBF神经网络进行预测。RBF neural network optimized by particle swarm optimization is used for prediction.
Implementation of a inertial messurement unit on the STM32F3DISCOVERY discovery kit
使用RBF、BP神经网络进行预测。RBF/BP neural network is used for prediction.
EKF based Attitude, Heading, and Reference System (AHRS)
Quaternion-based extended Kalman filter for 9DoF IMU
Attitude and Heading Reference System using MATLAB as simple as possible
A ready-to-embed version for the AHRS-QKF from https://github.com/hkbl1988/AHRS_EKF, and generated C code
AHRS algorithm based on conventional kalman filter and quaternion representation for attitude
A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform
使用BP神经网络、RBF神经网络以及PSO优化的RBF神经网络进行数据的预测
Dynamic magnetometer calibration + nine-axis fusion 动态磁场校准的九轴惯性融合
SLAM using a monocular camera, optionally an IMU, and GPS
误差状态卡尔曼ESKF滤波器融合GPS和IMU,实现更高精度的定位
融合指南针
python
GNSS/INS/NHC/ODO Loose Coupled, a matlab demo.
组合导航-行人航位推算算法
An exploration into various GPS/IMU integration techniques
采用gps、里程计和电子罗盘作为定位传感器,EKF作为多传感器的融合算法,最终输出目标的滤波位置
Kalman filter for orientation estimate based on EKF filtering gyroscope and magnetometer measurements
A dataset of various tests of inertial and magnetic sensors using an industrial robot as ground-truth
Attitude estimation and animated plot using MATLAB Extend Kalman Filter with 9-Axis IMU
calibration for Imu and show gesture
IMU定位
Inertial Navigation Filter
INS/GNSS Datafusion using Kalman Filter
Magnetic-Field aided Inertial Navigation System
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