Open DavidSmith166 opened 4 years ago
Most significant issue that I have run into is that the truth data and the output filter data don't have a perfect one to one matching, which makes it difficult to compare the two data sets from a statistical standpoint. Currently looking into using numpy's griddata function to interpolate the truth data into a function that we can index into with our filtered data and then compare the resulting values.
Work by yourself and determine how would best score the performance of our filter considering out mission parameters. The input to your algorithm should be an array of GPS locations for the truth, and the filter output. Bonus points if it is fast.