Tobias Miunske, Christian Holzapfel, Edwin Baumgartner, H. Reuss
{"title":"A new Approach for an Adaptive Linear Quadratic Regulated Motion Cueing Algorithm for an 8 DoF Full Motion Driving Simulator","authors":"Tobias Miunske, Christian Holzapfel, Edwin Baumgartner, H. Reuss","doi":"10.1109/ICRA.2019.8794109","DOIUrl":null,"url":null,"abstract":"In this contribution, a new adaptive motion cueing algorithm for a full motion driving simulator at the University of Stuttgart is presented, which allows kinematic vehicle movements to be taken into account. These are adequately processed via a state-flow chart and transferred to the motion cueing algorithm in such a way that the dynamic of the Stuttgart Driving Simulator can be used much more efficiently. Furthermore, a linear quadratic error minimization of the mentioned algorithm is presented. The primary objective is to provide a more realistic driving experience to the driver.","PeriodicalId":6730,"journal":{"name":"2019 International Conference on Robotics and Automation (ICRA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Robotics and Automation (ICRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRA.2019.8794109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this contribution, a new adaptive motion cueing algorithm for a full motion driving simulator at the University of Stuttgart is presented, which allows kinematic vehicle movements to be taken into account. These are adequately processed via a state-flow chart and transferred to the motion cueing algorithm in such a way that the dynamic of the Stuttgart Driving Simulator can be used much more efficiently. Furthermore, a linear quadratic error minimization of the mentioned algorithm is presented. The primary objective is to provide a more realistic driving experience to the driver.
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