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Determining speed with GPS and IMU data fusion
Calculates the current grade acquired from Arduino Nano 33 IOT's onboard acceleration and gyro sensors. The grade is plotted as unfiltered and using the filters moving average, complimentary, and Kalman.
This project required a Pololu Zumo Robot to navigate an obstacle course while demonstrating concepts such as ultrasonic and infrared wall following, IR signal sensing, IMU sensor fusion, and PID control
A Python 3D graphics engine which provides real-time 3D model outputs based on IMU data.