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
Content-Length: 188169 | pFad | http://github.com/topics/imu-localization
1FImplement 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."
Fetched URL: http://github.com/topics/imu-localization
Alternative Proxies: