Design and Evaluation of a Novel Filter-Based Motion Cueing Strategy for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom
Authors:
Patrick Biemelt, Sven Mertin, Nico Rüddenklau, Sandra Gausemeier, Ansgar Trächtler
Keywords:
motion cueing, washout algorithm, dynamic motion platform control, hybrid kinematics
Abstract:
Interactive driving simulation has become a key technology to support the development and optimization process of modern vehicle components and driver assistance systems both in academic research and in the automotive industry. However, the validity of the results obtained within the virtual environment depends essentially on the adequate reproduction of the simulated vehicle movements and the corresponding immersion of the driver. For that reason, specific motion platform control strategies, so-called Motion Cueing Algorithms, are used to replicate the simulated accelerations and angular velocities within the physical limitations of the driving simulator best possible. In this contribution, we present the design and evaluation of a novel filter-based control approach for this task, using a hybrid kinematics motion system as an application example. For this purpose, the core of the paper deals with a detailed system theoretical analysis of the control strategy and its transferability to other motion systems. The overall performance and the added value of the proposed approach are evaluated using measurement data of a standard driving scenario in comparison with the established Classical Washout Algorithm.
Cite this article
Biemelt P.; Mertin S.; Rüddenklau N.; Gausemeier S. and Trächtler A. Design and Evaluation of a Novel Filter-Based Motion Cueing Strategy for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom In: Proceedings of the Driving Simulation Conference 2020 Europe VR, Driving Simulation Association, Antibes, France, 2020, pp. 85-92
@inproceedings{Biemelt2020,
title = {Design and Evaluation of a Novel Filter-Based Motion Cueing Strategy for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom},
author = {Patrick Biemelt and Sven Mertin and Nico Rüddenklau and Sandra Gausemeier and Ansgar Trächtler},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year = {2020},
date = {2020-09-09},
booktitle = {Proceedings of the Driving Simulation Conference 2020 Europe VR},
pages = {85-92},
address = {Antibes, France},
organization = {Driving Simulation Association},
abstract = {Interactive driving simulation has become a key technology to support the development and optimization process of modern vehicle components and driver assistance systems both in academic research and in the automotive industry. However, the validity of the results obtained within the virtual environment depends essentially on the adequate reproduction of the simulated vehicle movements and the corresponding immersion of the driver. For that reason, specific motion platform control strategies, so-called Motion Cueing Algorithms, are used to replicate the simulated accelerations and angular velocities within the physical limitations of the driving simulator best possible. In this contribution, we present the design and evaluation of a novel filter based control approach for this task, using a hybrid kinematics motion system as an application example. For this purpose, the core of the paper deals with a detailed system theoretical analysis of the control strategy and its transferability to other motion systems. The overall performance and the added value of the proposed approach are evaluated using measurement data of a standard driving scenario in comparison with the established Classical Washout Algorithm.},
keywords = {dynamic motion platform control, hybrid kinematics, motion cueing, washout algorithm},
}
TY - CONF TI - Design and Evaluation of a Novel Filter-Based Motion Cueing Strategy for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom AU - Biemelt, Patrick AU - Mertin, Sven AU - Rüddenklau, Nico AU - Gausemeier, Sandra AU - Trächtler, Ansgar C1 - Antibes, France C3 - Proceedings of the Driving Simulation Conference 2020 Europe VR DA - 2020/09/09 PY - 2020 SP - 85 EP - 92 LA - en-US PB - Driving Simulation Association L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2020/design-and-evaluation-of-a-novel-filter-based-motion-cueing-strategy-for-a-hybrid-kinematics-driving-simulator-with-5-degrees-of-freedom ER -
A Driving Simulation Association membership is required in order to download the papers.