Abstract
Driver assistance systems have been in use for a decade and the automated vehicles are expected to hit the market soon. Collaboration between drivers and assistance systems, especially in SAE Level 3 of driving automation, plays a significant role as it is directly related to driving safety and the acceptance of automated vehicles. This contribution proposes driver state feedback control as a possible method for taking the driver state into account in driver-vehicle interaction. The feedback control creates a loop in which the takeover request affects the driver state and the driver state adjusts the takeover request. The functionality of the proposed interaction method is examined in an exemplary experiment on a driving simulator with twenty participants in which the gaze direction of drivers acts as a sensory state. The results indicate an improvement in the performance of drivers during the takeover situation by involving driver state in the design of the takeover request.
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Acknowledgments
The present work is supported by the German Federal Ministry of Transport and Digital Infrastructure as result of the research project “Moffa – Holistic model to describe the allocation and the transfer of tasks between the human driver and advanced driver assistance systems during automated and interconnected driving” [grant number 16AVF2005A].
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Dargahi Nobari, K., Albers, F., Bartsch, K., Bertram, T. (2020). Online Feedback Control for Driver-Vehicle Interaction in Automated Driving. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1212. Springer, Cham. https://doi.org/10.1007/978-3-030-50943-9_21
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DOI: https://doi.org/10.1007/978-3-030-50943-9_21
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