activity
20192022
most citedTeaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets

47 citations · 123 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2022★ 8 cited

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…

cs.CY2021★ 3 cited

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…

cs.LG2021★ 37 cited

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…

cs.RO2020★ 10 cited

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…

cs.CV2020★ 18 cited

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…

cs.LG2019★ 47 cited

Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets

Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp +1

By observing their environment as well as other traffic participants, humans are enabled to drive road vehicles safely. Vehicle passengers, however, perceive a notable difference b…