Evaluation of Performance Enhancement for Crash Constellation Prediction via Car-to-Car Communication - A Simulation Model Based Approach. - Thomas Kuehbeck; Gor Hakobyan; Axel Sikora; Claude C. Chibelushi; Mansour Moniri (Nets4Cars/Nets4Trains/Nets4Aircraft, 2014)

Using Time-to-React based on Naturalistic Traffic Object Behavior for Scenario-Based Risk Assessment of Automated Driving. - Sebastian Wagner 006; Korbinian Groh; Thomas Kühbeck; Michael Dorfel; Alois C. Knoll (Intelligent Vehicles Symposium, 2018)

Methods for Improving the Accuracy of the Virtual Assessment of Autonomous Driving. - Dominik Notz; Martin Sigl; Thomas Kühbeck; Sebastian Wagner 006; Korbinian Groh; Christoph Schütz; Daniel Watzenig (ICCVE, 2019)

Online Path Generation from Sensor Data for Highly Automated Driving Functions. - Tim Salzmann; Julian Thomas; Thomas Kühbeck; Jou-ching Sung; Sebastian Wagner 006; Alois C. Knoll (ITSC, 2019)

Towards Cross-Verification and Use of Simulation in the Assessment of Automated Driving. - Sebastian Wagner 006; Korbinian Groh; Thomas Kühbeck; Alois C. Knoll (IV, 2019)

Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors. - Dominik Notz; Felix Becker; Thomas Kühbeck; Daniel Watzenig (CASE, 2020)

Clustering of the Scenario Space for the Assessment of Automated Driving. - Jonas Kerber; Sebastian Wagner 006; Korbinian Groh; Dominik Notz; Thomas Kühbeck; Daniel Watzenig; Alois C. Knoll (IV, 2020)