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 continues our discussion on using sensor fusion for positioning and localization by showing how we can use a GPS and an IMU to estimate and object’s orientation and position. We’ll go over the structure of the algorithm and show you how the GPS and IMU both contribute to the final solution so you have a more intuitive understanding of the problem. Check out these other references! Pose Estimation From Asynchronous Sensors: Understanding Kalman Filters: Learn more about Kalman filters: -------------------------------------------------------------------------------------------------------- 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.