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Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme

, , and . 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, 55, 20, page 283-288. Elsevier, (2022)
DOI: 10.1016/j.ifacol.2022.09.109

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Human Occupant Motion in Pre-Crash Scenario, , and . Software, (2022)Related to: Jonas Kneifl, Julian Hay, and Jörg Fehr (2021). Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme. Preprint. arXiv: 2110.13583.Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme, , and . 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, 55, 20, page 283-288. Elsevier, (2022)A Hybrid Surrogate Modeling Approach for Vehicle Crash Simulations, , and . 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, 55, 20, page 433-438. Elsevier, (2022)Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme, , and . ArXiv e-print 2110.13583, (2021)publication: https://doi.org/10.1016%2Fj.ifacol.2022.09.109.Application of data-driven surrogate models for active human model response prediction and restraint system optimization, , , , , , and . Frontiers in applied mathematics and statistics, (2023)Two Variations of Passivity-Short-Based Semi-autonomous Robotic Swarms, , , , and . 2018 SICE International Symposium On Control Systems (SICE ISCS), page 12-19. IEEE, (2018)A surrogate model-enhanced simulation framework for safety performance assessment of integrated vehicle safety systems. Universität Stuttgart, Düren, Dissertation, (2022)