2 citations · 3 across the 3 of their papers we have counts for
5 papers
Conditional Unscented Autoencoders for Trajectory Prediction
Faris Janjoš, Marcel Hallgarten, Anthony Knittel +3
The CVAE is one of the most widely-used models in trajectory prediction for AD. It captures the interplay between a driving context and its ground-truth future into a probabilistic…
Unscented Autoencoder
Faris Janjoš, Lars Rosenbaum, Maxim Dolgov +1
The Variational Autoencoder (VAE) is a seminal approach in deep generative modeling with latent variables. Interpreting its reconstruction process as a nonlinear transformation of…
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision
Faris Janjoš, Max Keller, Maxim Dolgov +1
Accurate vehicle trajectory prediction is an unsolved problem in autonomous driving with various open research questions. State-of-the-art approaches regress trajectories either in…
StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global Frame Self-Attention
Faris Janjoš, Maxim Dolgov, J. Marius Zöllner
In this work, we present a novel multi-modal multi-agent trajectory prediction architecture, focusing on map and interaction modeling using graph representation. For the purposes o…
Self-Supervised Action-Space Prediction for Automated Driving
Faris Janjoš, Maxim Dolgov, J. Marius Zöllner
Making informed driving decisions requires reliable prediction of other vehicles' trajectories. In this paper, we present a novel learned multi-modal trajectory prediction architec…