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JY-61
- 此九轴模块采用高精度的陀螺加速度计 MPU6050，通过处理器读取 MPU6050 的测量 数据然后通过串口输出，免去了用户自己去开发 MPU6050 复杂的 I2C 协议，同时精心的 PCB布局和工艺保证了 MPU6050 收到外接的干扰最小，测量的精度最高。(This nine-axis module uses a high-precision gyro accelerometer MPU6050 to read the meas
四轴测试
- IMU数据应用于UAI四轴无人机，实现油门控制，pid调速，姿态解算等功能(The IMU data is applied to the UAI four axis UAV to realize throttle control, PID speed regulation, attitude calculation and other functions.)
SimpleBGC_chn
- SimpleBGC对云台的稳定部分（此部分一般用来固定相机或其他设备）的不良运动进行主动补偿，对其进 行精确定位，而无论周边框架如何运动。控制器含有的高性能运动传感器（MEMS陀螺仪）和ARM Cortex (TM) 32位内核以及其他功能等，可直接整合PWM（和其它）控制信号至被稳定的设备，使得控制器成为很多(SimpleBGC32 actively compensates for undesirable movement in
windows
- 计算角速度、加速度、磁场、GPS数据。姿态解算器，配合动态卡尔曼滤波算法，能够在动态环境下准确输出 模块的当前姿态，姿态测量精度静态0.05 度，动态0.1 度，稳定性极高，性能甚至优 于某些专业的倾角仪！(Calculation of angular velocity, acceleration, magnetic field, GPS data)
Untitled-1
- to show the erroe in imu sensor and filter it
一组跑车数据
- 该数据为INS/GPS组合导航原始数据。本文件夹提供1条数据，数据包括包括两个数据文件，分别存放惯导IMU、GNSS数据。具体说明均写入说明文档。该数据为网友提供，仅作为算法验证用途。(The data is INS/GPS integrated navigation raw data. This folder provides one piece of data, including two data files, which sto
Firmware_F405 V1.2.1
- 硬件资源: 1,MCU: STM32F405RGT6 (FLAH:1024K, RAM:196K, 系统运行时钟频率:168MHz) 2,IMU: MPU6000(通信方式:SPI1, SCK:PA5 \ MISO:PA6 \ MOSI:PA7 \ CS:PC2) 3,气压计: BMP280(通讯方式:IIC1, SCL:PB6 \ SDA:PB7) 4,磁力计接口: HMC5883L(通讯方式:IIC1, SCL:P
Extened kalman filter
- 实现IMU数据的拓展卡尔曼滤波,可以解算人体姿态，得到欧拉角等数据(Extened kalman fikter)
exp3
- 车载惯性/卫星组合导航实验，起始时刻车辆停止不动，但车身有一定干扰晃动，10分钟后车辆行驶，采集惯导系统IMU数据、车辆里程计数据、GPS数据等。采用前2分钟数据进行粗对准，后8分钟数据进行精对准，分别得到惯性导航、惯性/GPS组合导航、惯性/里程计组合导航的导航结果。(Vehicle-mounted inertial/satellite integrated navigation experiment: the vehicle sto
imu_allanVariance-master
- this code for us to learn
IMU-sensor-fusion-with-linear-Kalman-filter
- 无迹卡尔曼滤波模型，具有详细注释，可修改为自己合适模型(Unscented Kalman filter model, with detailed notes, can be modified to its own appropriate model)
sinsgpstcm2kf
- GPS/INS组合导航算法程序，对动态实验采集的GPS定位数据和IMU原始数据进行组合解算(GPS/INS combined navigation algorithm program, the GPS positioning data collected by dynamic experiment and the original IMU data were combined to solven)
基于stm32-f1的视障人群辅助导航装置
- 基于stm32-f1的视障人群辅助导航装置 通过gnss,imu融合导航帮助盲人导航
UWB-Aided-UAV-localization-master
- 这些代码用于使用超宽带和 IMU 实现无人机定位的 EKF融合算法，可以参考(These codes are used for EKF fusion algorithm of UAV positioning using UWB and IMU, which can be referred to)
demo_kf
- 这是一种在similink数据中只使用测距（UWB）和6轴imu传感器的融合算法(this is fusion algorithm with only ranging(UWB) and 6-axis imu sensor in similink data)
Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization
- 这是一篇关于VI-SLAM的优秀学位论文 VI-SLAM (Visual-Inertial Simultaneous Localization and Mapping) is a popular way for robotics navigation and tracking. With the help of sensor fusion from IMU and camera, VI-SLAM can give a more a
BNO055 with PIC16F866
- This is a dual function embedded source code. 1: Using CCS C Compiler to read yaw values of BNO055 IMU chip with PIC microcontroller. Ported from Arduino. 2: Driver for BM70 Bluetooth low energy from microchip to pair
GPS Location Prediction
- In this assignment you will study an inertial navigation system (INS) constructed using sensor fusion by a Kalman filter. The start code provides you with a working system with an inertial measurement unit (IMU, here acc