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Florian Wirthmüller

Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems

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Mar 09, 2022
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The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet

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Jul 09, 2021
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Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks

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Feb 03, 2021
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A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions

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Sep 24, 2020
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Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions

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Aug 17, 2020
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Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior

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Jul 04, 2020
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Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction using Large Data Sets

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Oct 17, 2019
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