Cognitive selection of driving automation levels in highly automated vehicles leveraging on Bayesian networking principles-Reference-Cited by-同舟云学术

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Cognitive selection of driving automation levels in highly automated vehicles leveraging on Bayesian networking principles

Published:2022-06-17 Issue:9 Volume:16 Page:1127-1142
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Trans Sys

Author:

Panagiotopoulos Ilias¹^ORCID,Dimitrakopoulos George¹

Affiliation:

1. Department of Telematics and Informatics Harokopio University of Athens Athens Greece

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12184

Reference34 articles.

1. Policy and society related implications of automated driving: A review of literature and directions for future research

2. Autonomous vehicle perception: The technology of today and tomorrow

3. Cognitive Cars: A New Frontier for ADAS Research

4. The “cognitive car”: A roadmap for research issues in the automotive sector

Cited by 1 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. Intelligent, In-Vehicle Autonomous Decision-Making Functionality for Driving Style Reconfigurations;Electronics;2023-03-13

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