1 code implementation • 30 Oct 2023 • Faris Janjoš, Marcel Hallgarten, Anthony Knittel, Maxim Dolgov, Andreas Zell, J. Marius Zöllner
We leverage recent advances in the space of the VAE, the foundation of the CVAE, which show that a simple change in the sampling procedure can greatly benefit performance.
2 code implementations • 8 Jun 2023 • Faris Janjoš, Lars Rosenbaum, Maxim Dolgov, J. Marius Zöllner
The Variational Autoencoder (VAE) is a seminal approach in deep generative modeling with latent variables.
no code implementations • 6 Jun 2023 • Faris Janjoš, Max Keller, Maxim Dolgov, J. Marius Zöllner
Accurate vehicle trajectory prediction is an unsolved problem in autonomous driving with various open research questions.
no code implementations • 21 Sep 2021 • Faris Janjoš, Maxim Dolgov, J. Marius Zöllner
In this paper, we present a novel learned multi-modal trajectory prediction architecture for automated driving.