Recognition and Pseudonymization of Data Privacy Relevant Areas in Videos for Compliance with GDPR. - Johannes Hiller; Michael Schuldes; Lutz Eckstein (ITSC, 2019)

6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment. - Maike Scholtes; Lukas Westhofen 001; Lara Ruth Turner; Katrin Lotto; Michael Schuldes; Hendrik Weber; Nicolas Wagener; Christian Neurohr; Martin Bollmann; Franziska Körtke; Johannes Hiller; Michael Hoss; et al. (IEEE Access, 2021)

Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving. - Lukas Westhofen 001; Christian Neurohr; Martin Butz; Maike Scholtes; Michael Schuldes (CoRR, 2022)

Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition. - Christoph Glasmacher; Michael Schuldes; Hendrik Weber; Nicolas Wagener; Lutz Eckstein (ITSC, 2023)

Holistic Driving Scenario Concept for Urban Traffic. - Hendrik Weber; Christoph Glasmacher; Michael Schuldes; Nicolas Wagener; Lutz Eckstein (IV, 2023)

Generation of Concrete Parameters from Logical Urban Driving Scenarios Based on Hybrid Graphs. - Christoph Glasmacher; Hendrik Weber; Michael Schuldes; Nicolas Wagener; Lutz Eckstein (VEHITS, 2023)

Causality-based Transfer of Driving Scenarios to Unseen Intersections. - Christoph Glasmacher; Michael Schuldes; Sleiman El Masri; Lutz Eckstein (IV, 2024)

Towards a Completeness Argumentation for Scenario Concepts. - Christoph Glasmacher; Hendrik Weber; Michael Schuldes; Lutz Eckstein (IV, 2024)

scenario.center: Methods from Real-world Data to a Scenario Database. - Michael Schuldes; Christoph Glasmacher; Lutz Eckstein (IV, 2024)

Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems. - Lennart Vater; Sven Tarlowski; Michael Schuldes; Lutz Eckstein (IV, 2024)