4 citations · 6 across the 6 of their papers we have counts for
8 papers
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…
Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving
Thomas Michalke, Di Feng, Claudius Gläser +1
Lane detection is an essential part of the perception sub-architecture of any automated driving (AD) or advanced driver assistance system (ADAS). When focusing on low-cost, large s…
A Distance-based Framework for Gaussian Processes over Probability Distributions
Maxim Dolgov, Uwe D. Hanebeck
Gaussian processes constitute a very powerful and well-understood method for non-parametric regression and classification. In the classical framework, the training data consists of…
Infinite-horizon Linear Optimal Control of Markov Jump Systems without Mode Observation via State Feedback
Maxim Dolgov, Uwe D. Hanebeck
In this paper, we consider stochastic optimal control of Markov Jump Linear Systems with state feedback but without observation of the jumping parameter. The proposed control law i…
Optimal Sequence-Based LQG Control over TCP-like Networks Subject to Random Transmission Delays and Packet Losses
Jörg Fischer, Achim Hekler, Maxim Dolgov +1
This paper addresses the problem of sequence-based controller design for Networked Control Systems (NCS), where control inputs and measurements are transmitted over TCP-like networ…