3 papers
cs.RO2026
Scenario Generation in Roundabouts with Adjustable Interaction Intensity
Li Li, Till Temmen, Tobias Brinkmann +3
Roundabouts, characterized by frequent merging and yielding interactions, remain a safety-critical corner case for the development and testing of intelligent driving functions. How…
cs.RO2025
Multi-Agent Scenario Generation in Roundabouts with a Transformer-enhanced Conditional Variational Autoencoder
Li Li, Tobias Brinkmann, Till Temmen +2
With the increasing integration of intelligent driving functions into serial-produced vehicles, ensuring their functionality and robustness poses greater challenges. Compared to tr…
cs.LG2023
LExCI: A Framework for Reinforcement Learning with Embedded Systems
Kevin Badalian, Lucas Koch, Tobias Brinkmann +4
Advances in artificial intelligence (AI) have led to its application in many areas of everyday life. In the context of control engineering, reinforcement learning (RL) represents a…