Implement an Extended Kalman Filter to track the three dimensional position and orientation of a robot using gyroscope, accelerometer, and camera measurements.
-
Updated
Apr 22, 2025 - Python
Implement an Extended Kalman Filter to track the three dimensional position and orientation of a robot using gyroscope, accelerometer, and camera measurements.
Assignments completed for my Robotic Sensing and Navigation course: Topics include ROS Drivers for GPS and IMU data analyses, UTM localization, RTK GPS, quaternion conversions, Allan Deviation, heading corrections, IMU dead reckoning, IMU localization, SIFT and image stitching.
To associate your repository with the imu-localization topic, visit your repo's landing page and select "manage topics."