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)

CPD: Crowd-based Pothole Detection. - Florian Wirthmueller; Jochen Hipp; Kai-Uwe Sattler; Manfred Reichert (VEHITS, 2019)

Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions. - Lucas Eiermann; Florian Wirthmüller; Kay Massow; Gabi Breuel; Ilja Radusch (ICCP, 2020)

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)

The Atlas of Lane Changes: Investigating Location-Dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet. - Florian Wirthmüller; Jochen Hipp; Christian Reichenbächer; Manfred Reichert (ITSC, 2021)

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)

Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems. - Christian Reichenbächer; Maximilian Rasch; Zafer Kayatas; Florian Wirthmüller; Jochen Hipp; Thao Dang 002; Oliver Bringmann 001 (VEHITS, 2022)