Authors:
Thomas Schwarzhuber, J. von Schleinitz, H. Geiser, M. Graf, Arno Eichberger
Keywords:
driving simulation, motion cueing, objective rating, nonlinear vehicle dynamics, motion stimuli
Abstract:
Motion Stimuli in driving simulation aim to increase simulator fidelity and immersion by providing vehicle state information to the driver. Currently, there is no fully confirmed knowledge about how a driver processes different cues to anticipate the vehicle state in nonlinear vehicle dynamics. This paper introduces a Tire Potential Exploitation Rating (TPER) suitable for objective motion cueing evaluation in nonlinear vehicle dynamics driving simulation. TPER takes knowledge about vehicle model and tire characteristics as a basis to define a distance concept between quasi-stationary, present vehicle state and the vehicle’s performance limits. The method is applied in an experiment with professional race car drivers. The driving tasks are executed with and without motion cues and data is compared using TPER. The results of the proposed method provide reliable information on the motion stimuli dependent exploitation of maximum vehicle capabilities. In contrast to other performance indicators, TPER shows similar effects between participants and driving tasks. The motion system under examination increased drivers’ ability to approach maximum vehicle capabilities by 1.86 % on corner exits, whereas on corner entries their ability is decreased by 2.52 %. Repeatability of the results makes TPER a powerful tool for future simulator fidelity investigations in nonlinear vehicle dynamics.
Schwarzhuber T.; Schleinitz J.V.; Geiser H.; Graf M. and Eichberger A. Identification of Drivers’ Controlled Stimuli in Nonlinear Vehicle Dynamics Driving Simulation In: Proceedings of the Driving Simulation Conference 2020 Europe VR, Driving Simulation Association, Antibes, France, 2020, pp. 45-52
Download .txt file
@inproceedings{Schwarzhuber2020,
title = {Identification of Drivers’ Controlled Stimuli in Nonlinear Vehicle Dynamics Driving Simulation},
author = {Thomas Schwarzhuber and J. Von Schleinitz and H. Geiser and M. Graf and Arno Eichberger},
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 = {45-52},
address = {Antibes, France},
organization = {Driving Simulation Association},
abstract = {Motion Stimuli in driving simulation aim to increase simulator fidelity and immersion by providing vehicle state information to the driver. Currently, there is no fully confirmed knowledge about how a driver processes different cues to anticipate the vehicle state in nonlinear vehicle dynamics. This paper introduces a Tire Potential Exploitation Rating (TPER) suitable for objective motion cueing evaluation in nonlinear vehicle dynamics driving simulation. TPER takes knowledge about vehicle model and tire characteristics as a basis to define a distance concept between quasi-stationary, present vehicle state and the vehicle’s performance limits. The method is applied in an experiment with professional race car drivers. The driving tasks are executed with and without motion cues and data is compared using TPER. The results of the proposed method provide reliable information on the motion stimuli dependent exploitation of maximum vehicle capabilities. In contrast to other performance indicators, TPER shows similar effects between participants and driving tasks. The motion system under examination increased drivers’ ability to approach maximum vehicle capabilities by 1.86 % on corner exits, whereas on corner entries their ability is decreased by 2.52 %. Repeatability of the results makes TPER a powerful tool for future simulator fidelity investigations in nonlinear vehicle dynamics.},
keywords = {driving simulation, motion cueing, motion stimuli, nonlinear vehicle dynamics, objective rating},
}
Download .bib file
TY - CONF
TI - Identification of Drivers’ Controlled Stimuli in Nonlinear Vehicle Dynamics Driving Simulation
AU - Schwarzhuber, Thomas
AU - Schleinitz, J. Von
AU - Geiser, H.
AU - Graf, M.
AU - Eichberger, Arno
C1 - Antibes, France
C3 - Proceedings of the Driving Simulation Conference 2020 Europe VR
DA - 2020/09/09
PY - 2020
SP - 45
EP - 52
LA - en-US
PB - Driving Simulation Association
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2020/identification-of-drivers-controlled-stimuli-in-nonlinear-vehicle-dynamics-driving-simulation
ER -
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