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

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

Previous Lectures:
1. Understanding Sensor Fusion and Tracking, Part 1: What Is Sensor Fusion?
2. Understanding Sensor Fusion and Tracking, Part 2: Fusing a Mag, Accel, & Gyro Estimate