A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain
Highly automated vehicles are making their way towards implementation in many modes of transportation, including shipping. From the safety perspective, it is critically important that such vehicles or the operators overseeing them maintain their sense of the environment, also referred to as situatio...
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Format: | Article |
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9771451/ |
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author | Krzysztof Bogusllwski Jan Nasur Jie Li Mateusz Gil Krzysztof Wrobel Floris Goerlandt |
author_facet | Krzysztof Bogusllwski Jan Nasur Jie Li Mateusz Gil Krzysztof Wrobel Floris Goerlandt |
author_sort | Krzysztof Bogusllwski |
collection | DOAJ |
description | Highly automated vehicles are making their way towards implementation in many modes of transportation, including shipping. From the safety perspective, it is critically important that such vehicles or the operators overseeing them maintain their sense of the environment, also referred to as situational awareness. The present study investigates the worldwide research effort focusing on situational awareness for autonomous transport and explores how the maritime domain could benefit from it. The results indicate that most of the research originates from the automotive sector, but the topic is developing fast in other transportation modes too. Some findings have been shared across the modes of transportation, but only to a limited extent. Although technology development is performed based on the achievements within basic research domains, there has been little feedback from applied sciences. Similarly, collaborative research is not strongly developed. |
first_indexed | 2024-04-12T11:40:16Z |
format | Article |
id | doaj.art-e6a9dbbb4a6e4be3ae9a8c0ba0e8d700 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-12T11:40:16Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-e6a9dbbb4a6e4be3ae9a8c0ba0e8d7002022-12-22T03:34:43ZengIEEEIEEE Access2169-35362022-01-0110500475006110.1109/ACCESS.2022.31740979771451A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime DomainKrzysztof Bogusllwski0Jan Nasur1https://orcid.org/0000-0002-0508-3672Jie Li2Mateusz Gil3https://orcid.org/0000-0003-1759-1700Krzysztof Wrobel4https://orcid.org/0000-0001-7757-8554Floris Goerlandt5Research Group on Maritime Transportation Risk and Safety, Gdynia Maritime University, Gdynia, PolandResearch Group on Maritime Transportation Risk and Safety, Gdynia Maritime University, Gdynia, PolandNational Science Library, Chinese Academy of Sciences, Beijing, ChinaResearch Group on Maritime Transportation Risk and Safety, Gdynia Maritime University, Gdynia, PolandResearch Group on Maritime Transportation Risk and Safety, Gdynia Maritime University, Gdynia, PolandDepartment of Industrial Engineering, Maritime Risk and Safety Group, Dalhousie University, Halifax, NS, CanadaHighly automated vehicles are making their way towards implementation in many modes of transportation, including shipping. From the safety perspective, it is critically important that such vehicles or the operators overseeing them maintain their sense of the environment, also referred to as situational awareness. The present study investigates the worldwide research effort focusing on situational awareness for autonomous transport and explores how the maritime domain could benefit from it. The results indicate that most of the research originates from the automotive sector, but the topic is developing fast in other transportation modes too. Some findings have been shared across the modes of transportation, but only to a limited extent. Although technology development is performed based on the achievements within basic research domains, there has been little feedback from applied sciences. Similarly, collaborative research is not strongly developed.https://ieeexplore.ieee.org/document/9771451/Autonomous transportationautonomous vehiclessafety of transportationscientometricssituation awareness |
spellingShingle | Krzysztof Bogusllwski Jan Nasur Jie Li Mateusz Gil Krzysztof Wrobel Floris Goerlandt A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain IEEE Access Autonomous transportation autonomous vehicles safety of transportation scientometrics situation awareness |
title | A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain |
title_full | A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain |
title_fullStr | A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain |
title_full_unstemmed | A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain |
title_short | A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain |
title_sort | cross domain scientometric analysis of situational awareness of autonomous vehicles with focus on the maritime domain |
topic | Autonomous transportation autonomous vehicles safety of transportation scientometrics situation awareness |
url | https://ieeexplore.ieee.org/document/9771451/ |
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