Motion Cueing Quality Comparison of Driving Simulators using Oracle Motion Cueing

Motion Cueing Quality Comparison of Driving Simulators using Oracle Motion Cueing

Kolff, M.J.C. (TU Delft Control & Simulation; BMW Group)
Venrooij, Joost (BMW Group)
Schwienbacher, Markus (BMW Group)
Pool, D.M. (TU Delft Control & Simulation)
Mulder, Max (TU Delft Control & Simulation)

2022

BMW’s new driving simulation center operates multiple motion-base simulators – each with a different kinematic configuration – to serve various experiment use-cases and requirements of simulator users. The selection of a simulator for each experiment should ideally be based on their relative strengths and weaknesses. To support this decision-making process, subjective and objective predictions of motion cueing quality can be used. This paper provides an example comparison of four motion-base driving simulators. The kinematic configurations of the simulators considered differed in the additional presence of a yaw-drive and/or a linear xy-drive. The comparison is made by calculating offline, optimization-based motion cueing with perfect prediction capabilities (the ‘Oracle’) for nine urban drives. A prediction of subjective motion incongruence ratings is made for each simulator. In addition, an error type identification method is used (identifying scaling, missing cue, false cue and false direction cue errors) and evaluated per simulator. As Oracle can fully utilize the available workspace, the employed evaluation methods provide an insight in the fundamental capabilities of each simulator. Both the modelled ratings and the error type analysis show the benefits of adding a xy-drive in urban use-cases: predicted ratings reduce by 19% (i.e., better), while scaling and missing cue errors in the yaw rate are reduced when adding a yaw-drive. The presence of both of these additional motion systems allow for practically one-to-one and therefore error-free motion cueing. The proposed methods provide a straight-forward, yet insightful basis for simulator selection. The presented methods can be extended towards the analysis of multiple motion cueing algorithms and/or other usecases for systematically selecting the best-suited motion cueing method.

Motion cueing
simulator comparison
quality comparison
objective assessment

http://resolver.tudelft.nl/uuid:2027ed55-c4a7-4c3b-ae58-44637f6d7a8a

Driving Simulation Conference Europe 2022

Driving Simulation Conference Europe 2022, 2022-09-14 → 2022-09-16, Strasbourg, France

Institutional Repository

conference paper

© 2022 M.J.C. Kolff, Joost Venrooij, Markus Schwienbacher, D.M. Pool, Max Mulder