Implementation and Validation of an optimized Hybrid Steering Modeling Method in a fully Immersive Driving Simulator

@inproceedings{Dieing2025,
title = {Implementation and Validation of an optimized Hybrid Steering Modeling Method in a fully Immersive Driving Simulator},
author = {Andreas Dieing and Gerd Baumann and Christian Holzapfel and Martin Kehrer and Hans-Christian Reuss
},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet and Stéphane Espié},
doi = {https://doi.org/10.82157/dsa/2025/23},
isbn = {978-2-9573777-7-0},
year  = {2025},
date = {2025-09-24},
booktitle = {Proceedings of the Driving Simulation Conference 2025 Europe XR},
pages = {189-196},
address = {Stuttgart, Germany},
organization = {Driving Simulation Association},
abstract = {Driving simulations are an integral part of today's vehicle development. To represent a realistic driving experience in a virtual simulation environment in driving simulators, it’s necessary to generate coherent human sensory impressions, especially distortion-free and realistic haptic feedback via the steering wheel. This publication presents the methodology, the implementation and the evaluation of a realistic steering wheel torque via a software sided hybrid steering model for force-feedback systems in the full immersive Stuttgart Driving Simulator. The physical based steering model part allows quick and easy external parameter adjustment of the overall model. In addition, there are three neuronal network configurations which act as scaling, adapting and filtering networks to build up an optimized hybrid steering model. All networks are trained with measurement data from real driving maneuvers of a mid-range vehicle. The results show, on the one hand, robust output torques for all test datasets and, at the same time, the possibility of external force and path excitation at the rack level. The results of a test subject study confirm the steering feel characteristics that match the vehicle. A hybrid steering model structure helps to generate a more realistic steering torque and therefore maximizes the immersion in driving simulators.
},
keywords = {},
}

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TY  - CONF
TI  - Implementation and Validation of an optimized Hybrid Steering Modeling Method in a fully Immersive Driving Simulator
AU  - Dieing, Andreas
AU  - Baumann, Gerd
AU  - Holzapfel, Christian
AU  - Kehrer, Martin
AU  - Reuss, Hans-Christian
C1  - Stuttgart, Germany
C3  - Proceedings of the Driving Simulation Conference 2025 Europe XR
DA  - 2025/09/24
PY  - 2025
SP  - 189
EP  - 196
LA  - en-US
PB  - Driving Simulation Association
SN  - 978-2-9573777-7-0
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2025/implementation-and-validation-of-an-optimized-hybrid-steering-modeling-method-in-a-fully-immersive-driving-simulator
ER  - 

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