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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Ahmet Burakhan Koyuncu; Emec Ercelik; Eduard Comulada-Simpson; Joost Venrooij; Mohsen Kaboli; Alois Knoll 
Titel:
A Novel Approach to Neural Network-based Motion Cueing Algorithm for a Driving Simulator 
Abstract:
Motion Cueing Algorithms (MCAs) render accelerations in a motion-based driving simulator by controlling the motion system of the simulators to provide the driver with a realistic driving experience. However, generating realistic motion is challenging due to the limited workspace of the motion systems of the simulator compared to the motion range of the simulated vehicle. Commonly used methods such as Classical Washoutbased MCA (CW-MCA) typically achieves suboptimal results due to scaling and fi...    »
 
Kongress- / Buchtitel:
31st IEEE Intelligent Vehicles Symposium (accepted) 
Jahr:
2020