47 citations · 129 across the 7 of their papers we have counts for
7 papers
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas +4
Scenario-based approaches for the validation of highly automated driving functions are based on the search for safety-critical characteristics of driving scenarios using software-i…
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer +1
The prediction of surrounding traffic participants behavior is a crucial and challenging task for driver assistance and autonomous driving systems. Today's approaches mainly focus…
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen +2
To plan safe and comfortable trajectories for automated vehicles on highways, accurate predictions of traffic situations are needed. So far, a lot of research effort has been spent…
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen +2
Already today, driver assistance systems help to make daily traffic more comfortable and safer. However, there are still situations that are quite rare but are hard to handle at th…
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 +2
Modern driver assistance systems as well as autonomous vehicles take their decisions based on local maps of the environment. These maps include, for example, surrounding moving obj…
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp +1
Predicting the behavior of surrounding traffic participants is crucial for advanced driver assistance systems and autonomous driving. Most researchers however do not consider conte…