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I'm trying to understand the training process. I'm not sure if trajectory generation for the ego vehicle is handled differently from the prediction of other agents. Are there any specific considerations for the ego vehicle compared to the other agents during the training of the transformer model or are we doing the same thing for ego and other agents?
The text was updated successfully, but these errors were encountered:
Hi @YasinSonmez, data augmentations are only applied to the ego vehicle to address closed-loop problems. Prediction serves as an auxiliary task, providing dense supervision, and is not the primary focus of this study.
I'm trying to understand the training process. I'm not sure if trajectory generation for the ego vehicle is handled differently from the prediction of other agents. Are there any specific considerations for the ego vehicle compared to the other agents during the training of the transformer model or are we doing the same thing for ego and other agents?
The text was updated successfully, but these errors were encountered: