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ORCIDFlorian Wirthmueller
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2020 – today
- 2022
[c7]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: 134-142- [i7]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 abs/2203.03515 (2022) - 2021
- [j2]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): 2357-2364 (2021) - [j1]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): 7129-7144 (2021) - [c6]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: 1225-1232 - [i6]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 abs/2102.01431 (2021) - [i5]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 abs/2107.04029 (2021) - 2020
- [c5]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: 263-270 - [c4]Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior. ITSC 2020: 1-7 - [c3]Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. SSCI 2020: 2739-2745 - [i4]Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior. CoRR abs/2006.08470 (2020) - [i3]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 abs/2008.04707 (2020) - [i2]Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. CoRR abs/2009.11221 (2020)
2010 – 2019
- 2019
- [c2]Florian Wirthmueller, Jochen Hipp, Kai-Uwe Sattler, Manfred Reichert:
CPD: Crowd-based Pothole Detection. VEHITS 2019: 33-42 - [i1]Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction using Large Data Sets. CoRR abs/1910.07772 (2019) - 2015
- [c1]Julian Schlechtriemen, Florian Wirthmueller, Andreas Wedel, Gabi Breuel, Klaus-Dieter Kuhnert:
When will it change the lane? A probabilistic regression approach for rarely occurring events. Intelligent Vehicles Symposium 2015: 1373-1379
Coauthor Index
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