stratomaster31

Yes, this is the repository. The preprocessing routine is in "utils>preprocess.py". Although the voxelization is a 3D quantization of the point cloud, if you perform the same process with the...

Well, phi and theta are only used to transform Cartesian coordinates to spherical. The features of the points are then chosen as the Cartesian (x,y,z) and the intensity. For each...

Regarding to the projections, take a look to this pictures (they'll be more revealing than my previous reply)     As I mentioned, the elevation and azimuth features...

I think you should export the data by yourself. Here you have code to get the three recording sessions for the us-101. Hope it helps... import pandas as pd import...

Following up this interesting topic, I have another concern: Does trhe output of the decoder ensure that the predicted covariance matrix of the future trajectory time-steps is positive semi-definite? Given...

@jmercat I'll be very interested in your work:) until you release your results, I'm wondering if it would be better to work with rho=0 @jmercat I have another conceptual question......

@jmercat very interrsting, I have to process this información though... I'm working with a multimodal model (CVAE) so I will find your work very suitable for me Given the deep...

Yes, this is true and I think is a typical issue missleading the concept of the likelihood... I'm meaming, given a multimodal Gaussian decoder, which predicitons should be considered as...

Then, should I need to add another output to the network with softmax activation and add the cross-entropy loss to the loss of the model? The I will be very...

This is a fantastic piece of information! :) In this equation, K is for the mode? what is (i)? and n_mix is the numner of future time steps? I was...