MPU9250 IMU with ROS2 on Raspberry Pi for Rviz IMU Data Visualization

$34.99

This product contains a ROS 2 package and detailed documentation for the MPU9250 GY-9250 9-axis motion tracking IMU sensor (accelerometer, gyroscope, and magnetometer), designed for fast and hassle-free integration with edge devices like Raspberry Pi, RDK, and Jetson Nano.

Category: Robotics Projects

Description
Reviews (0)

Description

Get your IMU up and running in minutes—not hours. This plug-and-play solution is perfect for developers who want to save time on setup and focus on building. With built-in calibration steps, sensor fusion, and ready-to-launch files, you’ll skip the trial-and-error and go straight to high-quality data and smooth ROS 2 integration.

Key Features

Works with ROS2 Humble and Ubuntu 22.04 (Jammy), and should be compatible with newer versions
Calibration steps to improve IMU orientation measurements
Utilizes sensor fusion with Kalman filter to reduce drifting
Set up instructions for I2C and verification steps
Integration with 3D models and visualization rigid body and coordinate frame using Rviz2
Ability to visualize accelerometer (x,y,z), gyroscope (x,y,z) and orientation (roll, pitch, yaw) in real-time
Includes launch file and configuration files for easy deployment

Everything You Need to Start your IMU Project

MPU 9250 9-axis IMU: https://amzn.to/3ELAyvH
MPU 9250 9-axis IMU Pre-Soldered: https://amzn.to/4d1WGP9
MPU-6050 6-axis IMU: https://amzn.to/4jFYWhz
Breadboard: https://amzn.to/4jFFG3N
Jumper Cables: https://amzn.to/3YZwlLE
Jetson Nano: https://amzn.to/3ROougc
Raspberry Pi: https://amzn.to/3Z4KZRR
RDK x5: https://amzn.to/43drjO2
Micro SD Card: https://amzn.to/4m0qAHx
5V 5A Power Supply: https://amzn.to/3GCVG7U
Soldering Iron: https://amzn.to/3GCVG7U

Ideal for Robotics and AI Projects

Drone navigation
Gesture control systems
Self-balancing robots
Wearable fitness trackers
Augmented reality (AR) systems
Vehicle motion tracking
Virtual reality (VR) systems
Object tracking and stabilization
Motion capture systems
Autonomous vehicles
Inertial navigation systems (INS)
Health monitoring systems
Indoor localization and mapping
Robot arm motion control
3D motion analysis for sports
Biomechanical analysis
Head tracking for gaming
Fall detection systems
Smart glasses or headsets
Pedestrian navigation systems

Reviews

There are no reviews yet.

Be the first to review “MPU9250 IMU with ROS2 on Raspberry Pi for Rviz IMU Data Visualization”