37 citations · 117 across the 7 of their papers we have counts for
7 papers
Real-World Evaluation of two Cooperative Intersection Management Approaches
Marvin Klimke, Max Bastian Mertens, Benjamin Völz +1
Cooperative maneuver planning promises to significantly improve traffic efficiency at unsignalized intersections by leveraging connected automated vehicles. Previous works on this…
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving
Marvin Klimke, Benjamin Völz, Michael Buchholz
Reinforcement learning has received high research interest for developing planning approaches in automated driving. Most prior works consider the end-to-end planning task that yiel…
Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks
Marvin Klimke, Benjamin Völz, Michael Buchholz
Connected automated driving has the potential to significantly improve urban traffic efficiency, e.g., by alleviating issues due to occlusion. Cooperative behavior planning can be…
An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management
Marvin Klimke, Jasper Gerigk, Benjamin Völz +1
The improvement of traffic efficiency at urban intersections receives strong research interest in the field of automated intersection management. So far, mostly non-learning algori…
Cooperative Behavior Planning for Automated Driving using Graph Neural Networks
Marvin Klimke, Benjamin Völz, Michael Buchholz
Urban intersections are prone to delays and inefficiencies due to static precedence rules and occlusions limiting the view on prioritized traffic. Existing approaches to improve tr…
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen +2
To plan safe and comfortable trajectories for automated vehicles on highways, accurate predictions of traffic situations are needed. So far, a lot of research effort has been spent…
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen +2
Already today, driver assistance systems help to make daily traffic more comfortable and safer. However, there are still situations that are quite rare but are hard to handle at th…