Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving-Reference-Cited by-同舟云学术

Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving

Published:2023-04 Issue:2 Volume:53 Page:270-281
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Yang Jing¹^ORCID,Liang Nade¹^ORCID,Pitts Brandon J.¹^ORCID,Prakah-Asante Kwaku O.²,Curry Reates²,Blommer Mike²,Swaminathan Radhakrishnan²,Yu Denny¹^ORCID

Affiliation:

1. School of Industrial Engineering, Purdue University, West Lafayette, IN, USA

2. Ford Motor Company, Dearborn, MI, USA

Funder

Ford Motor Company

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/10075055/10040764.pdf?arnumber=10040764

Reference64 articles.

1. Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking

2. Eye tracking in web search tasks

3. Situational awareness rating technique (Sart): The development of a tool for aircrew systems design;salas;Proc Situational Awareness,0

4. Shared domains of competence of approximate learning models using measures of separability of classes

5. Physiological Measurements of Situation Awareness: A Systematic Review

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