A probabilistic long term prediction approach for highway scenarios. - Julian Schlechtriemen; Andreas Wedel; Gabi Breuel; Klaus-Dieter Kuhnert (ITSC, 2014)

A lane change detection approach using feature ranking with maximized predictive power. - Julian Schlechtriemen; Andreas Wedel; Jörg Hillenbrand; Gabi Breuel; Klaus-Dieter Kuhnert (Intelligent Vehicles Symposium, 2014)

When will it change the lane? A probabilistic regression approach for rarely occurring events. - Julian Schlechtriemen; Florian Wirthmueller; Andreas Wedel; Gabi Breuel; Klaus-Dieter Kuhnert (Intelligent Vehicles Symposium, 2015)

Wiggling through complex traffic: Planning trajectories constrained by predictions. - Julian Schlechtriemen; Kim Peter Wabersich; Klaus-Dieter Kuhnert (Intelligent Vehicles Symposium, 2016)

Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior. - Florian Wirthmüller; Julian Schlechtriemen; Jochen Hipp; Manfred Reichert (ITSC, 2020)

A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. - Florian Wirthmüller; Marvin Klimke; Julian Schlechtriemen; Jochen Hipp; Manfred Reichert (SSCI, 2020)

Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks. - Florian Wirthmüller; Marvin Klimke; Julian Schlechtriemen; Jochen Hipp; Manfred Reichert (IEEE Robotics Autom. Lett., 2021)

Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets. - Florian Wirthmüller; Julian Schlechtriemen; Jochen Hipp; Manfred Reichert (IEEE Trans. Intell. Transp. Syst., 2021)