Simulator setup according to use case scenarios - A human-oriented method for virtual development. - Niko Maas; Benjamin Hesse; Martin Koppers; Dieter Schramm (MESA, 2014)

Passing Control Between Driver and Highly Automated Driving Functions. - Niko Maas; Frédéric Etienne Kracht; Mira Schüller; Weiyan Hou; Dieter Schramm (LSMS/ICSEE (2), 2017)

The Impact of Psychological and Demographic Parameters on Simulator Sickness. - Stephan Schweig; Magnus Liebherr; Dieter Schramm; Matthias Brand; Niko Maas (SIMULTECH, 2018)

Neural Roll Angle Estimation in a Model Predictive Control System. - Sebastian Blume; Philipp Maximilian Sieberg; Niko Maas; Dieter Schramm (ITSC, 2019)

Hybrid State Estimation Combining Artificial Neural Network and Physical Model. - Philipp Maximilian Sieberg; Sebastian Blume; Nele Harnack; Niko Maas; Dieter Schramm (ITSC, 2019)

Evaluation of Alternative Propulsion Concepts for Mobile Machinery: A Modelling Approach using the Example on LNG-powered Port Handling Equipment. - Patrick Driesch; Kai Horwat; Niko Maas; Dieter Schramm (SIMULTECH, 2020)

Application of Photogrammetric Object Reconstruction for Simulation Environments in the Context of Inland Waterways. - Maximilian Jarofka; Stephan Schweig; Niko Maas; Frédéric Etienne Kracht; Dieter Schramm (SIMULTECH (Selected Papers), 2020)

Toolchain Development for Automated Scene Reconstruction using Artificial Neural Network Object Detection and Photogrammetry for the Application in Driving Simulators. - Maximilian Jarofka; Stephan Schweig; Niko Maas; Dieter Schramm (SIMULTECH, 2020)

Stress and Simulated Environments: Insights From Physiological Marker. - Magnus Liebherr; Silke M. Müller; Stephan Schweig; Niko Maas; Dieter Schramm; Matthias Brand (Frontiers Virtual Real., 2021)

Hybrid State Estimation-A Contribution Towards Reliability Enhancement of Artificial Neural Network Estimators. - Philipp Maximilian Sieberg; Sebastian Blume; Sebastian Reicherts; Niko Maas; Dieter Schramm (IEEE Trans. Intell. Transp. Syst., 2022)