Intention Data in Test Stage

[PipoC96]

Hi there!

First of all thanks for your great work!
The code you provided is very easy to read and use, that's awesome!

After working with your code, I have some questions regarding the intention data that you use when testing the final model (test_final method in pie_predict.py).

If I understand correctly, you do not infer the intention values online for corresponding observation data, but instead load the intention results from the test phase of the intention module (pie_int).
When loading the intention results in the test stage of pie_traj, you follow two methods, if there is no intention data for a specific test sample.

1. If there are previously observed intention values for a ped_id, you use the average result as the intention value for that test sample. What is the reason for this procedure (I could not find it in the paper)?

2. Otherwise you use an intention value of 0.5 for the test sample. Since an intention value of 0.5 is only present for samples, that start before the defined exp_start_point, an intention value of 0.5 indicates a "flag" that the pedestrian will not cross the street in the near future. The model could use this information in the test stage. What do you think about this issue?

Apart from that I have one more question:
3. Why do you not infer the intention values for all test samples instead of loading the inferred results from the test stage of pie_int?

Thanks in advance
Phillip