Check out the other videos in this series: Part 1 - What Is Sensor Fusion?: Part 2 - Fusing an Accel, Mag, and Gyro to Estimation Orientation: Part 3 - Fusing a GPS and IMU to Estimate Pose: Part 4 - Tracking a Single Object With an IMM Filter: Part 5 - How to Track Multiple Objects at Once: This video describes how we can use a magnetometer, accelerometer, and a gyro to estimate an object’s orientation. The goal is to show how these sensors contribute to the solution, and to explain a few things to watch out for along the way. We’ll cover what orientation is and how we can determine orientation using an accelerometer and a magnetometer. We’ll also talk about calibrating a magnetometer for hard and soft iron sources and ways to deal with corrupting accelerations. We’ll also show a simple dead reckoning solution that uses the gyro on its own. Finally, we’ll cover the concept of blending the solutions from the three sensors. Check out these other references! Estimating Orientation Using Inertial Sensor Fusion and MPU-9250: Kalman Filter Tech Talks: Drone Control and the Complementary Filter: Madgwick Filter: Mahony Filter: -------------------------------------------------------------------------------------------------------- Get a free product trial: Learn more about MATLAB: Learn more about Simulink: See what's new in MATLAB and Simulink: © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.