An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions. - Leon Eisemann; Mirjam Fehling-Kaschek; Henrik Gommel; David Hermann; Marvin Klemp; Martin Lauer; Benjamin Lickert; Florian Lüttner; Robin Moss; Nicole Neis; Maria Pohle; Simon Romanski; et al. (ITSC, 2023)

A Two-Level Stochastic Model for the Lateral Movement of Vehicles Within Their Lane Under Homogeneous Traffic Conditions. - Nicole Neis; Juergen Beyerer (ITSC, 2023)

Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations. - Nicole Neis; Juergen Beyerer (IV, 2023)

Sensitivity Analysis and Extended Evaluation of the Two-Level Stochastic Model for the Lateral Movement of Vehicles within their Lane. - Nicole Neis; Juergen Beyerer (ICARA, 2024)

Repetition, Replay, Replica - A Survey on the Understanding of Resimulation in the Context of Automated Driving. - Leon Eisemann; Nicole Neis; Juergen Beyerer; Johannes Maucher (ITSC, 2024)

Improving the Modelling of the Lateral Driving Behavior of Vehicles within their Lane Over Extended Time Periods. - Nicole Neis; Juergen Beyerer (ITSC, 2024)

Improved Modelling of the Position-Independent, Fine-Scale Lateral Movement of Vehicles Within Their Lane. - Nicole Neis; Juergen Beyerer (ITSC, 2024)

A Joint Approach Towards Data-Driven Virtual Testing for Automated Driving: The AVEAS Project. - Leon Eisemann; Mirjam Fehling-Kaschek; Silke Forkert; Andreas Forster; Henrik Gommel; Susanne Guenther; Stephan Hammer; David Hermann; Marvin Klemp; Benjamin Lickert; Florian Lüttner; Robin Moss; et al. (CoRR, 2024)