Measuring Driver Situation Awareness Using Region-of-Interest Prediction and Eye Tracking-Reference-Cited by-同舟云学术

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Measuring Driver Situation Awareness Using Region-of-Interest Prediction and Eye Tracking

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Symposium on Multimedia (ISM)
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Author:

Hofbauer Markus,Kuhn Christopher B.,Puttner Lukas,Petrovic Goran,Steinbach Eckehard

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9327909/9327910/09327914.pdf?arnumber=9327914

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An interpretable prediction framework for multi-class situational awareness in conditionally automated driving;Advanced Engineering Informatics;2024-10

2. Using Eye-Tracking to Measure Worker Situation Awareness in Augmented Reality;Automation in Construction;2024-09

3. Looking Inside Out: Anticipating Driver Intent From Videos;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Emotion-matched in-vehicle assistants: an exploration in regulating drivers' incidental emotions and enhancing takeover performance and situational awareness;Cognition, Technology & Work;2024-03-20

5. Situational Awareness Assessment of Drivers Boosted by Eye-Tracking Metrics: A Literature Review;Applied Sciences;2024-02-17

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