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Combining Knowledge and Information - Graph-based Description of Driving Scenarios to Enable Holistic Vehicle Safety

, , , , and . Proceedings of the 27th International Technical Conference on the Enhanced Safety of Vehicles~(ESV), Yokohama, Japan, (2023)(publication accepted).

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Bipartite Graph Modeling of Critical Driving Scenarios : an Occupant Safety Perspective, , , , and . MATHMOD 2022 Discussion Contribution Volume, 10th Vienna Conference on Mathematical Modelling, 7, page 25-26. ARGESIM, (2022)Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios. Dataset, (2024)Related to: Related Publication: Bechler, F.: Enabling Holistic Vehicle Safety - Combined Knowledge and Information through a Graph-based Approach, Dissertation, University of Stuttgart, Shaker Verlag, Aachen, tbd.Combining Knowledge and Information - Graph-based Description of Driving Scenarios to Enable Holistic Vehicle Safety, , , , and . Proceedings of the 27th International Technical Conference on the Enhanced Safety of Vehicles~(ESV), Yokohama, Japan, (2023)(publication accepted).Calibration Approach for Muscle Activated Human Models in Pre-Crash Maneuvers with a Driver-in-the-Loop Simulator, , and . DHM2020 : Proceedings of the 6th International Digital Human Modeling Symposium, 11, page 227-236. Amsterdam, IOS Press, (2020)