Analysis of Driver's Cognitive Characteristics for Speed Control Using Deep Learning

It is important to elucidate what the drivers perceive to operate the vehicle in order to apply the driver characteristics to self-driving cars. Therefore, the authors proposed the driver's cognitive-operation model using deep learning. Then, they used the proposed model to analyze the cognitive areas of drivers that influence the speed control of the vehicle. The authors verified whether the results obtained in this study are consistent with the driver behavior that is proven by the prior studies. As a result, they showed the reliability of the proposed driver's cognitive-operation model that can extract the driver behavior.

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  • English
  • Japanese

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Filing Info

  • Accession Number: 01767962
  • Record Type: Publication
  • Source Agency: Japan Science and Technology Agency (JST)
  • Files: TRIS, JSTAGE
  • Created Date: Feb 18 2021 3:48PM