47 citations · 112 across the 4 of their papers we have counts for
4 papers
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…
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…
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…