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Extended Kalman Filter (EKF) overview, theory, and practical considerations. Real-world implementation on an STM32 microcontroller in C in the following video.
Part 3 of sensor fusion video series.
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[LINKS]
Git: github.com/pms67
Sensor Fusion Part 2: • Complementary Filter -...
Sensor Fusion Part 1: • Accelerometers and Gyr...
Small Unmanned Aircraft (Book): uavbook.byu.edu/doku.php
State observers: Observers: en.wikipedia.org/wiki/State_o...
Euler Angles: control.asu.edu/Classes/MMAE44... (from slide 17)
[TIMESTAMPS]
00:00 Introduction
00:28 Previous Videos
00:41 Altium Designer Free Trial
01:05 Content
01:43 Sensor Fusion Recap
02:26 Complementary Filter Recap
03:08 Choosing alpha
03:29 Kalman Filter Overview
04:19 Estimation Error and Covariance
05:00 Non-Linear and Discrete-Time Kalman Filter
05:47 Book Recommendation
06:05 EKF Algorithm Overview
07:19 Practical Example (Attitude Estimation)
07:49 Prediction (EKF Step 1)
10:14 Update (EKF Step 2)
13:32 Complete EKF Algorithm
14:04 Practical Issues and Considerations
15:14 Next Video
ID: QIBvbJtYjWuHiTG0uCoK