SceML: a graphical modeling framework for scenario-based testing of autonomous vehicles. - Barbara Schütt; Thilo Braun; Stefan Otten; Eric Sax (MoDELS, 2020)

Trajectory-Based Clustering of Real-World Urban Driving Sequences with Multiple Traffic Objects. - Lennart Ries; Philipp Rigoll; Thilo Braun; Thomas Schulik; Johannes Daube; Eric Sax (ITSC, 2021)

Collection of Requirements and Model-based Approach for Scenario Description. - Thilo Braun; Lennart Ries; Franziska Körtke; Lara Ruth Turner; Stefan Otten; Eric Sax (VEHITS, 2021)

Capturing the Variety of Urban Logical Scenarios from Bird-view Trajectories. - Christian King; Thilo Braun; Constantin Braess; Jacob Langner; Eric Sax (VEHITS, 2021)

Maneuver-based Visualization of Similarities between Recorded Traffic Scenarios. - Thilo Braun; Lennart Ries; Moritz Hesche; Stefan Otten; Eric Sax (DATA, 2022)

Towards an Ontology That Reconciles the Operational Design Domain, Scenario-based Testing, and Automated Vehicle Architectures. - Jannis Erz; Barbara Schütt; Thilo Braun; Houssem Guissouma; Eric Sax (SysCon, 2022)

A Review of Scenario Similarity Measures for Validation of Highly Automated Driving. - Thilo Braun; Julian Fuchs; Felix Reisgys; Lennart Ries; Johannes Plaum; Barbara Schütt; Eric Sax (ITSC, 2023)

1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey. - Barbara Schütt; Joshua Ransiek; Thilo Braun; Eric Sax (IV, 2023)

The Machine Vision Iceberg Explained: Advancing Dynamic Testing by Considering Holistic Environmental Relations. - Hubert Padusinski; Christian Steinhauser; Thilo Braun; Lennart Ries; Eric Sax (ITSC, 2024)

The Machine Vision Iceberg Explained: Advancing Dynamic Testing by Considering Holistic Environmental Circumstances. - Hubert Padusinski; Thilo Braun; Christian Steinhauser; Lennart Ries; Eric Sax (CoRR, 2024)