Browsing by Author "Stephan Rinderknecht"
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Distribution Adaptive Driving Style Classification through Transfer Learning with Synthetic OversamplingPhilippe Jardin; Ioannis Moisidis; Kürsat Kartal; Stephan RinderknechtDistribution Adaptive Driving Style Classification through Transfer Learning with Synthetic OversamplingPhilippe Jardin; Ioannis Moisidis; Kürsat Kartal; Stephan RinderknechtDataset Adaptive Driving Style Classification through Transfer Learning with Synthetic Oversampling(MDPI AG, 2022) Philippe Jardin; Ioannis Moisidis; Kürsat Kartal; Stephan RinderknechtDataset Development and Evaluation of a Threshold-Based Motion Cueing Algorithm(MDPI AG, 2021) Edward Kraft; Ping He; Stephan RinderknechtDistribution Development and Evaluation of a Threshold-Based Motion Cueing AlgorithmEdward Kraft; Ping He; Stephan RinderknechtDistribution Development and Evaluation of a Threshold-Based Motion Cueing AlgorithmEdward Kraft; Ping He; Stephan RinderknechtDistribution Development of a PHEV Hybrid Transmission for Low-End MPVs Based on AMTYongcheng Zhen; Yong Bao; Zaimin Zhong; Stephan Rinderknecht; Song ZhouDataset Development of a PHEV Hybrid Transmission for Low-End MPVs Based on AMT(MDPI AG, 2020) Yongcheng Zhen; Yong Bao; Zaimin Zhong; Stephan Rinderknecht; Song ZhouDistribution Development of a PHEV Hybrid Transmission for Low-End MPVs Based on AMTYongcheng Zhen; Yong Bao; Zaimin Zhong; Stephan Rinderknecht; Song ZhouDistribution Efficient Anticipatory Longitudinal Control of Electric Vehicles through Machine Learning-Based Prediction of Vehicle SpeedsTobias Eichenlaub; Paul Heckelmann; Stephan RinderknechtDistribution Efficient Anticipatory Longitudinal Control of Electric Vehicles through Machine Learning-Based Prediction of Vehicle SpeedsTobias Eichenlaub; Paul Heckelmann; Stephan RinderknechtDataset Efficient Anticipatory Longitudinal Control of Electric Vehicles through Machine Learning-Based Prediction of Vehicle Speeds(MDPI AG, 2022) Tobias Eichenlaub; Paul Heckelmann; Stephan RinderknechtDistribution Identification of the Optimal Passenger Car Vehicle Fleet Transition for Mitigating the Cumulative Life-Cycle Greenhouse Gas Emissions until 2050Benjamin Blat Belmonte; Arved Esser; Steffi Weyand; Georg Franke; Liselotte Schebek; Stephan RinderknechtDistribution Identification of the Optimal Passenger Car Vehicle Fleet Transition for Mitigating the Cumulative Life-Cycle Greenhouse Gas Emissions until 2050Benjamin Blat Belmonte; Arved Esser; Steffi Weyand; Georg Franke; Liselotte Schebek; Stephan RinderknechtDataset Identification of the Optimal Passenger Car Vehicle Fleet Transition for Mitigating the Cumulative Life-Cycle Greenhouse Gas Emissions until 2050(MDPI AG, 2020) Benjamin Blat Belmonte; Arved Esser; Steffi Weyand; Georg Franke; Liselotte Schebek; Stephan RinderknechtDataset Linear Quadratic Tracking Control of Car-in-the-Loop Test Bench Using Model Learned via Bayesian Optimization(MDPI AG, 2024) Guanlin Gao; Philippe Jardin; Stephan RinderknechtDistribution Linear Quadratic Tracking Control of Car-in-the-Loop Test Bench Using Model Learned via Bayesian OptimizationGuanlin Gao; Philippe Jardin; Stephan RinderknechtDistribution Linear Quadratic Tracking Control of Car-in-the-Loop Test Bench Using Model Learned via Bayesian OptimizationGuanlin Gao; Philippe Jardin; Stephan RinderknechtDistribution Simulative Assessment of Novel Parallel-Hybrid-Electric Powertrains: Consideration of Transmission System Power LossesJean-Eric Schleiffer; Wilco van Harselaar; Ye Shen; Stephan RinderknechtDataset Simulative Assessment of Novel Parallel-Hybrid-Electric Powertrains: Consideration of Transmission System Power Losses(MDPI AG, 2020) Jean-Eric Schleiffer; Wilco van Harselaar; Ye Shen; Stephan Rinderknecht