Learn how to achieve stable and responsive tilt measurements using accelerometers, gyros, and a complementary filter in this 40-minute tutorial. Explore techniques for combining sensor data to create an accurate approximation of pitch and roll angles. Discover how to apply high-pass filtering to gyro data and low-pass filtering to accelerometer data, resulting in responsive measurements that are less susceptible to long-term drift and vibration. Gain hands-on experience with the Adafruit BNO055 IMU sensor and Arduino Nano, and learn to implement a complementary filter for improved sensor fusion in your projects.
Overview
Syllabus
Intro
Gear
Lesson 8 Code
What is a Complimentary Filter
Reviewing the unfiltered data
Reviewing the results
The Code
Troubleshooting
Download Data
Homework
Taught by
Paul McWhorter