GitHub / Walid-khaled / Linear-Regression-VS-Kalman-Filter-on-UAV
In this repository, UAV pitch angle is fitted using linear regression and Kalman Filter. It is apart of Assignment1&2 in Sensing, Perception and Actuation course for ROCV master's program at Innopolis University.
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PURL: pkg:github/Walid-khaled/Linear-Regression-VS-Kalman-Filter-on-UAV
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Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 1.25 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 3 years ago
Pushed at: about 3 years ago
Last synced at: over 2 years ago
Topics: confidence-intervals, kalman-filter, linear-regression, moving-average-filter, outlier-detection, outlier-removal, python