Implement an Extended Kalman Filter to track the three dimensional position and orientation of a robot using gyroscope, accelerometer, and camera measurements.
-
Updated
May 10, 2022 - 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.
Add a description, image, and links to the imu-localization topic page so that developers can more easily learn about it.
To associate your repository with the imu-localization topic, visit your repo's landing page and select "manage topics."