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I wanted to know if you have any scripts or formulae to calculate the bounds, xy_distribution, detect_opts values for the datasets as done in AdvTrajPrediction/prediction/dataset/apolloscape.py and other dataset specific files in dataset folder.
It will be great if you can share this information as it will help us for testing other datasets as well.
The text was updated successfully, but these errors were encountered:
Sorry for this very late reply. Unfortunately I lost the specific scripts over the years. Basically:
xy_distribution is computed on the whole training set, calculating min/max/mean/std of x and y locations (transformed to meters). This is used for standarlization for models.
bounds is the physical constraints used by the attack algorithms. The bounds are 3 times of standard deviation of the distribution of training data. Basically, we get each trajectory, fit the dynamic model to have a list of velocity and acceleration, and get the distribution eventually.
detect_opts is only used in our proposed anomaly detection. The numbers are empirical numbers and not guaranteed to be optimal.
I wanted to know if you have any scripts or formulae to calculate the bounds, xy_distribution, detect_opts values for the datasets as done in AdvTrajPrediction/prediction/dataset/apolloscape.py and other dataset specific files in dataset folder.
It will be great if you can share this information as it will help us for testing other datasets as well.
The text was updated successfully, but these errors were encountered: