Closed ottopasuuna closed 6 years ago
GPS sensor readings are noisy and unusible in their raw form. We need to use some filtering algorithms to tame the readings down such that they are accurate. The method that everyone uses is Kalman filters. Here is a link to a tutorial that some made on implementing Kalman filters in Python: http://nbviewer.jupyter.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/table_of_contents.ipynb
Basically done, just need to tweak parameters and test with real hardware.
GPS sensor readings are noisy and unusible in their raw form. We need to use some filtering algorithms to tame the readings down such that they are accurate. The method that everyone uses is Kalman filters. Here is a link to a tutorial that some made on implementing Kalman filters in Python: http://nbviewer.jupyter.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/table_of_contents.ipynb