There are 1 repository under mpu9250 topic.
calibration for Imu and show gesture
Drivers for InvenSense inertial measurement units MPU9250, MPU9150, MPU6050
ESP32 full library for all MPU6000 MPU6050 MPU6500 MPU9150 MPU9250 with SPI and I2C support and more.
MicroPython I2C driver for MPU9250 9-axis motion tracking device
Calibration procedure for the MPU9250's accelerometer, gyroscope, and magnetometer using Python and a Raspberry Pi Computer
Extended Kalman Filter predicts the GNSS measurement based on IMU measurement
A library for arduino to read value of MPU9250.
MPU6050/9250 I2C and SPI interface. Sensor fusion using a complementary filter yields sensor Euler angles and is implemented in five different languages.
Visualizing MPU9250 3D orientation data on the web page hosted by ESP32
I2C Drivers for MPU-9250, MPU-9255, MPU-9150, MPU-6500, MPU-6555, and MPU-6050
An Arduino library for the 9-axis accelerometer, gyroscope and magnetometer MPU9250 and MPU6500. It contains many example sketches make it easy to use.
ICM-20948 library with STM32 HAL driver
Combination of MPU-9250 and BMP180, I2C device selectable.
RaspberryPilot
STM32 MPU6050/9250 I2C and SPI interface. Sensor fusion using a complementary filter yields sensor Euler angles and is implemented in both C and CPP.
A demo showing the pose of the mpu6050 in 3D using esp-idf
Head Tracker using MPU6050/MPU9250 and ESP8266
Raspberry Pi Python code for Kalman-filter Sensor Fusion with MPU-9250 or MPU-9265 sensor. I2C communication protocol forked from cityofeden's cosmic repo.
A bluetooth audio vario with zero-lag climb/sink rate feedback. Configurable and firmware upgradable via WiFi. Uses off-the-shelf modules. Schematic and PCB layout provided.
CircuitPython I2C driver for MPU9250 9-axis motion tracking device
Developing economical sensor systems for Gait data acquisition, analysis and visualization
Flight controller for an autonomous quadcopter drone.
STM32 communicates with MPU-9250 9-axis accelerometer using and Matlab communicates with STM32 using Serial communication. Then the graphicalization of data
STM32 library for the MPU-9250 enabling its digital motion process (DMP) features using I2C interface.
ESP32-C3 audio vario using Kalman filter to fuse acceleration and pressure sensor data. Bluetooth transmission of LK8EX1 sentences.
MPU implemented as a compass compatible with Arduino Framework at C.
Build a underwater vehicle that can autonomously navigate through an obstacle course with colored markers
Notify 9 Axis IMU data from M5Stack-Gray with BLE