Understanding Sensor Fusion and Tracking, Part 3: Fusing a GPS and IMU to Estimate Pose

Check out the other videos in this series: Part 1 - What Is Sensor Fusion?: https://youtu.be/6qV3YjFppuc Part 2 - Fusing an Accel, Mag, and Gyro to Estimation Orientation: https://youtu.be/0rlvvYgmTvI Part 3 - Fusing a GPS and IMU to Estimate Pose: https://youtu.be/hN8dL55rP5I Part 4 - Tracking a Single Object With an IMM Filter: https://youtu.be/hJG08iWlres Part 5 - How to Track Multiple Objects at Once: https://youtu.be/IIt1LHIHYc4 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: https://bit.ly/2VGk6Sv Understanding Kalman Filters: https://bit.ly/2pnEA6a Learn more about Kalman filters: https://bit.ly/2Me89QJ -------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.