5 papers
Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority
Philip-Roman Adam, Stefanie Schmidtner
Transit signal priority (TSP) requires balancing competing objectives: reducing bus delay while limiting adverse impacts on non-bus traffic and avoiding extreme waits for a subset…
ROSA-RL: Uncertainty-Aware Roundabout Optimized Speed Advisory with Reinforcement Learning
Anna-Lena Schlamp, Jeremias Gerner, Klaus Bogenberger +2
Roundabouts challenge automated driving in mixed traffic, as heterogeneous and non-deterministic human behavior, unknown driving intentions, and high interaction complexity create…
ROSA: Roundabout Optimized Speed Advisory with Multi-Agent Trajectory Prediction in Multimodal Traffic
Anna-Lena Schlamp, Jeremias Gerner, Klaus Bogenberger +2
We present ROSA -- Roundabout Optimized Speed Advisory -- a system that combines multi-agent trajectory prediction with coordinated speed guidance for multimodal, mixed traffic at…
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction
Dominik RöÃle, Jeremias Gerner, Klaus Bogenberger +3
Accurate and comprehensive semantic segmentation of Bird's Eye View (BEV) is essential for ensuring safe and proactive navigation in autonomous driving. Although cooperative percep…
Floating Car Observers in Intelligent Transportation Systems: Detection Modeling and Temporal Insights
Jeremias Gerner, Klaus Bogenberger, Stefanie Schmidtner
Floating Car Observers (FCOs) extend traditional Floating Car Data (FCD) by integrating onboard sensors to detect and localize other traffic participants, providing richer and more…