Florian Wirthmüller

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 14

Top Topics

Driver Assistance

Recurrent Neural Networks

Contextual Knowledge

Top Venues

IEEE Robotics Autom. Lett.

Publications

Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, Thao Dang, Oliver Bringmann
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems. CoRR (2022)
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, Thao Dang, Oliver Bringmann
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems. VEHITS (2022)
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks. CoRR (2021)
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks. IEEE Robotics Autom. Lett. 6 (2) (2021)
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet. CoRR (2021)
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets. IEEE Trans. Intell. Transp. Syst. 22 (11) (2021)
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert
The Atlas of Lane Changes: Investigating Location-Dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet. ITSC (2021)
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior. CoRR (2020)
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. SSCI (2020)
Lucas Eiermann, Florian Wirthmüller, Kay Massow, Gabi Breuel, Ilja Radusch
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions. ICCP (2020)
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. CoRR (2020)
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior. ITSC (2020)
Lucas Eiermann, Florian Wirthmüller, Kay Massow, Gabi Breuel, Ilja Radusch
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions. CoRR (2020)
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction using Large Data Sets. CoRR (2019)