RJ
Robert Jacumet
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2 records found
1
Conference paper
(2025)
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M.J.C. Kolff, Robert Jacumet, Sebastian Wagner, Dirk Wollherr, Marion Leibold
This paper presents a Model Predictive Control framework for driving simulator motion cueing including effective control of the frequency-domain characteristics of the simulator motion. By transforming the predicted output sequence using the Discrete Fourier Transform (DFT) matrix method, the controller can penalize or amplify specific frequency components. The method is first demonstrated using a discrete-frequency multisine reference use-case, followed by a realistic multi degree-of-freedom driving simulation use-case. Although its inclusion adds
additional constraints on the prediction horizon and the simulation sample time, the frequency-aware motion cueing algorithm enhances the frequency response in both use-cases, thus providing an effective control over the frequency characteristics of the simulator motion. This leads to a better integration of frequency-dependent motion characteristics, a more effective use of the simulator motion workspace, and is expected to provide an improved human perception of the motion. ...
additional constraints on the prediction horizon and the simulation sample time, the frequency-aware motion cueing algorithm enhances the frequency response in both use-cases, thus providing an effective control over the frequency characteristics of the simulator motion. This leads to a better integration of frequency-dependent motion characteristics, a more effective use of the simulator motion workspace, and is expected to provide an improved human perception of the motion. ...
This paper presents a Model Predictive Control framework for driving simulator motion cueing including effective control of the frequency-domain characteristics of the simulator motion. By transforming the predicted output sequence using the Discrete Fourier Transform (DFT) matrix method, the controller can penalize or amplify specific frequency components. The method is first demonstrated using a discrete-frequency multisine reference use-case, followed by a realistic multi degree-of-freedom driving simulation use-case. Although its inclusion adds
additional constraints on the prediction horizon and the simulation sample time, the frequency-aware motion cueing algorithm enhances the frequency response in both use-cases, thus providing an effective control over the frequency characteristics of the simulator motion. This leads to a better integration of frequency-dependent motion characteristics, a more effective use of the simulator motion workspace, and is expected to provide an improved human perception of the motion.
additional constraints on the prediction horizon and the simulation sample time, the frequency-aware motion cueing algorithm enhances the frequency response in both use-cases, thus providing an effective control over the frequency characteristics of the simulator motion. This leads to a better integration of frequency-dependent motion characteristics, a more effective use of the simulator motion workspace, and is expected to provide an improved human perception of the motion.
Conference paper
(2024)
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M.J.C. Kolff, Robert Jacumet, Joost Venrooij, Sebastian Wagner, Markus Schwienbacher, Martin Peller, D.M. Pool, Max Mulder
The collective goal of the driving simulation community should be to share ideas to improve the motion cueing across driving simulators worldwide. Due to the active research and intensive usage of driving simulators over the last decades, knowledge in the field of motion cueing has been gained from experience gathered by the community, or practical experience by performing dedicated experiments. This paper discusses several points of ‘common knowledge’ in designing and evaluating motion cueing, along with their value for driving simulation. The goal of the discussion in this paper is to compare these points of common knowledge to the experiences and ideas gathered at BMW’s driving simulation center in Munich, which was opened in 2021 and hosts a fleet of fourteen driving simulators. Furthermore, we aim to bring across points of interest and outlines for future research that should be of interest to the driving simulation community. With the common goal of improving motion cueing, this contribution thus aims to improve and extend the discussion between those working and researching in the driving simulator industry.
...
The collective goal of the driving simulation community should be to share ideas to improve the motion cueing across driving simulators worldwide. Due to the active research and intensive usage of driving simulators over the last decades, knowledge in the field of motion cueing has been gained from experience gathered by the community, or practical experience by performing dedicated experiments. This paper discusses several points of ‘common knowledge’ in designing and evaluating motion cueing, along with their value for driving simulation. The goal of the discussion in this paper is to compare these points of common knowledge to the experiences and ideas gathered at BMW’s driving simulation center in Munich, which was opened in 2021 and hosts a fleet of fourteen driving simulators. Furthermore, we aim to bring across points of interest and outlines for future research that should be of interest to the driving simulation community. With the common goal of improving motion cueing, this contribution thus aims to improve and extend the discussion between those working and researching in the driving simulator industry.