Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving-Reference-Cited by-同舟云学术

Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving

Published:2021 Issue: Volume: Page:1-12
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhou Feng¹^ORCID,Yang X. Jessie²^ORCID,de Winter Joost C. F.³^ORCID

Affiliation:

1. Department of Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn, Dearborn, MI 48128 USA (e-mail: fezhou@umich.edu)

2. Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI 48109 USA.

3. Cognitive Robotics Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09397433.pdf?arnumber=9397433

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