Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks von Wirthmuller, Florian, Klimke, Marvin, Schlechtriemen, Julian, Hipp, Jochen, Reichert, Manfred

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Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks von Klimke, Marvin, Völz, Benjamin, Buchholz, Michael

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Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving von Klimke, Marvin, Völz, Benjamin, Buchholz, Michael

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Evaluation of two Cooperative Maneuver Planning Approaches at a Real-World T-Junction in Mixed Traffic von Klimke, Marvin, Mertens, Max Bastian, Völz, Benjamin, Buchholz, Michael

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Cooperative Behavior Planning for Automated Driving using Graph Neural Networks von Klimke, Marvin, Völz, Benjamin, Buchholz, Michael

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An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management von Klimke, Marvin, Gerigk, Jasper, Völz, Benjamin, Buchholz, Michael

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Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks von Wirthmüller, Florian, Klimke, Marvin, Schlechtriemen, Julian, Hipp, Jochen, Reichert, Manfred

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Verfahren zum Generieren einer Sequenz von Manöverpunkten für eine mobile Plattform von Klimke, Marvin, Voelz, Benjamin

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Verfahren zum Generieren einer jeweiligen Sequenz von Manöverpunkten für zumindest zwei mobile Plattformen von Klimke, Marvin, Voelz, Benjamin

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Evaluation of two Cooperative Maneuver Planning Approaches at a Real-World T-Junction in Mixed Traffic von Klimke, Marvin, Max Bastian Mertens, Völz, Benjamin, Buchholz, Michael

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A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions von Wirthmüller, Florian, Klimke, Marvin, Schlechtriemen, Julian, Hipp, Jochen, Reichert, Manfred

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