The Pololu AltIMU-10 is an inertial measurement unit (IMU) and altimeter that features the same L3GD20 gyro and LSM303DLHC accelerometer and magnetometer as the MinIMU-9 v2, and adds an LPS331AP digital barometer. An I²C interface accesses ten independent pressure, rotation, acceleration, and magnetic measurements that can be used to calculate the sensor’s altitude and absolute orientation. The board operates from 2.5 to 5.5 V and has a 0.1″ pin spacing.
Clearance: This board is being replaced by the newer AltIMU-10 v3.
Compare all products in Accelerometers, Gyros, & Compasses.
- L3G Arduino library
- This is a library for the Arduino that interfaces with our L3GD20H and L3GD20 3-axis gyro carriers as well as the gyros on the MinIMU-9 v3 and AltIMU-10 v3 (it also works with older versions of those boards, some of which used the L3G4200D and the L3GD20). It makes it simple to configure the device and read the raw gyro data.
- LSM303 Arduino library
- This is a library for the Arduino that interfaces with our LSM303D, LSM303DLHC, and LSM303DLM 3D compass and accelerometer carriers as well as the compass and accelerometer ICs on the MinIMU-9 v3 and AltIMU-10 v3 (it also works with older versions of those boards, some of which used the LSM303DLH and LSM303DLHC). It makes it simple to configure the device and read the raw accelerometer and magnetometer data, and it has a function for computing the tilt-compensated heading for those looking to use the LSM303 as a tilt-compensated compass.
- LPS331 Arduino library
- This is a library for the Arduino that interfaces with the Pololu LPS331AP pressure/altitude sensor carrier as well as the pressure sensor IC on the AltIMU-10 v3 (it also works with the original AltIMU-10). It makes it simple to read the raw pressure data from the sensor, and it provides functions to help calculate altitude based on the measured pressure.
- MinIMU-9 + Arduino AHRS
- This Arduino program (sketch) allows an Arduino connected to a MinIMU-9 v3 or AltIMU-10 v3 (or older versions of those boards) to function as an attitude and heading reference system, calculating estimated roll, pitch, and yaw angles from sensor readings that can be visualized with a 3D test program on a PC. It is based on the work of Jordi Munoz, William Premerlani, Jose Julio, and Doug Weibel.
|Visualization of AHRS orientation calculated from MinIMU-9 readings.|
- MinIMU-9 v2 connected to 3ds Max in real time
- A MinIMU-9 v2 is connected to an Arduino Uno to interact in real time with 3ds Max. This 3ds Max MinIMU-9 tutorial (5MB zip) includes source code, 3ds Max files, and step-by-step instructions. By Nippur, August 2012.
- Pololu_Open_IMU by mikeshub
- This customer-submitted Arduino program (sketch) is similar to our MinIMU-9 + Arduino AHRS except it uses the Madgwick algorithm. It outputs pitch, yaw, and roll angles.
- LPS331AP pressure sensor test flight
- A blog post by Pololu president Jan Malášek about testing the LPS331AP pressure sensor as an altimeter in an airplane.
- Using the L3GD20 gyroscope in control systems
- This is a YouTube playlist by control systems lecturer Brian Douglas that uses the L3GD20 MEMS gyroscope. It describes the fundamentals of the gyro and how to use it for closed and open loop control projects with MATLAB/Simulink and Arduino.
- Orientation sensing with the Raspberry Pi and MinIMU-9 v2
- This project explains how to connect our MinIMU-9 v2 (or AltIMU-10) sensor board to a Raspberry Pi and use it to sense orientation. It includes a video, wiring instructions, and code.
- Quaternion-based AHRS using AltIMU-10 & Arduino
- This Arduino program by Camel Software can read data from our AltIMU-10, compute the orientation of the board, and output it over serial. It uses quaternions internally to represent the rotation, but can output Euler anglers, a rotation matrix, or a quaternion. The MinIMU-9 v2 is just an AltIMU-10 without a pressure sensor, so the code can be made to work with a MinIMU-9 v2 by commenting out a few lines.
- ascii_graph by drewtm
- This sketch outputs a text-based graph of LSM303 accelerometer and L3G gyro data, providing a quick way to check whether the sensors are working as expected.