An Efficient Strategy for Testing ADAS on HiL Test Systems with Parallel Condition-based Assessments. - Christian Steinhauser; Maciej Boncler; Jacob Langner; Steffen Strebel; Eric Sax (VEHITS, 2022)

Evolutionary Behavior Tree Generation for Dynamic Scenario Creation in Testing of Automated Driving Systems. - Barbara Schütt; Meng Zhang; Christian Steinhauser; Eric Sax (ICSRS, 2023)

Contextualizing the Sim-to-Real Gap for Hardware-in-the-Loop Testing of Highly Automated Driving Functions. - Christian Steinhauser; Joshua Ransiek; Jacob Langner; Eric Sax (ICSRS, 2024)

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)

Data Quality Matters: Quantifying Image Quality Impact on Machine Learning Performance. - Christian Steinhauser; Philipp Reis; Hubert Padusinski; Jacob Langner; Eric Sax (CoRR, 2025)

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation. - Hubert Padusinski; Christian Steinhauser; Christian Scherl; Julian Gaal; Jacob Langner (CoRR, 2025)