搜索资源列表
IMU_model_test
- 介绍了Imu器件的模型参数及实验验证研究
IMU_model_test1
- 介绍IMU器件的试验测试和参数分析，搞导航的朋友有一定用
ArduIMU_1.9.8
- Arduino上开发的IMU小程序，对于姿态解算和数据融合的理解有一定帮助-Program for Arduino IMU developing
fangzhenshuju
- 捷联惯导系统仿真数据生成工具，可以用来验证捷联算法-SINS simulation data generation tool that can be used to verify Inertial Algorithm
integration_of_attitudes
- 利用三轴角速率型号和三轴加速度计信号结合扩展卡尔曼滤波实现三个姿态角度的融合-The use of three-axis angular velocity model and three-axis accelerometer signal extended Kalman filter combined with the realization of the integration of the three attitude angles
99_249
- ION - paper : GPS/INS -ION- paper : GPS/INS
chr6d_datasheet
- The CHR-6d is a complete 6-axis Inertial Measurement Unit (IMU), with 3-axes of rotation rate measurement, and 3-axes of acceleration Measurement. The CHR-6d features a footprint of only .8" x .7" x .1", and a weight of only 1.5 Grams. -The CHR-6d is
SF9DOF_AHRS_interface_python-(1)
- AHRS code in Python. This file is used to develop AHRS using IMU output-AHRS code in Python. This file is used to develop AHRS using IMU output
Copy-of-what-is-imu
- inertial measurement unit basics
DSP_INS_1.0
- The open source project DSP_INS is an inertial navigation system on the TI DSP platform TMS320F28335 with MEMS inertial sensors and commercial GPS module. Inertial sensors are actually used only for estimating attitude, heading and velocity.
d189cbee-0cef-466b-b2e7-a3bdccc642ee
- ICD for MTI-G IMU Sensor
main_beta_1021
- imu和视觉里程计 kalman滤波器 进行融合-imu VO fusion
UKF-GPS-IMU-MATLAB
- 惯性导航与GPS组合导航无迹卡尔曼滤波matlab仿真-gps ukf matlab
I2C
- 的I2C由底层到：高层在Keil C语言上开发的程式码，提供的ARM Cortex-M3的与IMU3000EVB基础的的I2C通讯源码-I2C from the bottom to the high-rise development in keil C code, provide the source of the ARM Cortex-M3 IMU3000EVB based I2C communications
attitude
- 基于四级四阶龙格库塔算法的MEMS IMU数据的捷联姿态解算-SINS solve
gps+imu+uwb无缝切换定位
- 解决gnss,uwb,laser三种定位方式自由切换问题(Solve the problem of free switch of GNSS,uwb and laser source)
程序
- imu融合算法，用扩展卡尔曼融合得到pitch和roll的角度。四元数更新姿态(The IMU fusion algorithm uses extended Kalman fusion to get pitch and roll angles. Quaternion update attitude)
gait-extraction
- 实现IMU数据步态识别，每一个数据点识别(Realization of gait recognition of imu data, recognition of each data point)
GPS_IMU_Kalman_Filter-master
- 详细描述了通过卡尔曼滤波算法对GSP和imu数据进行融合(merge the gps and imu with the kalman)
imu - 2020.09.18
- 基于stm32f103c8t6的姿态解算源码，icm和imu系列均可稳定使用(Based on stm32f103c8t6 attitude calculation source code, ICM and IMU series can be used stably)