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A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Boguslawski, Krzysztof
dc.contributor.author Nasur, Jan
dc.contributor.author Li, Jie
dc.contributor.author Gil, Mateusz
dc.contributor.author Wrobel, Krzysztof
dc.contributor.author Goerlandt, Floris
dc.date.accessioned 2022-06-08T06:12:53Z
dc.date.available 2022-06-08T06:12:53Z
dc.date.issued 2022
dc.identifier.citation Boguslawski , K , Nasur , J , Li , J , Gil , M , Wrobel , K & Goerlandt , F 2022 , ' A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain ' , IEEE Access , vol. 10 , pp. 50047-50061 . https://doi.org/10.1109/ACCESS.2022.3174097 en
dc.identifier.issn 2169-3536
dc.identifier.other PURE UUID: 94604623-1c2d-411e-9858-3567ca66bc64
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/94604623-1c2d-411e-9858-3567ca66bc64
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/83505255/A_Cross_Domain_Scientometric_Analysis_of_Situational_Awareness_of_Autonomous_Vehicles_With_Focus_on_the_Maritime_Domain.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/114780
dc.description.abstract 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. en
dc.format.extent 15
dc.format.extent 50047-50061
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofseries IEEE Access en
dc.relation.ispartofseries Volume 10 en
dc.rights openAccess en
dc.title A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Gdynia Maritime University
dc.contributor.department Chinese Academy of Sciences
dc.contributor.department Department of Mechanical Engineering
dc.contributor.department Dalhousie University
dc.contributor.department Department of Mechanical Engineering en
dc.subject.keyword Transportation
dc.subject.keyword Bibliometrics
dc.subject.keyword Safety
dc.subject.keyword Market research
dc.subject.keyword Autonomous vehicles
dc.subject.keyword Indexes
dc.subject.keyword Collaboration
dc.subject.keyword Autonomous transportation
dc.subject.keyword autonomous vehicles
dc.subject.keyword safety of transportation
dc.subject.keyword scientometrics
dc.subject.keyword situation awareness
dc.subject.keyword DRIVER TAKEOVER
dc.subject.keyword TRENDS
dc.subject.keyword AUTOMATION
dc.subject.keyword SAFETY
dc.subject.keyword TIME
dc.subject.keyword PERFORMANCE
dc.subject.keyword PATTERNS
dc.subject.keyword NETWORK
dc.subject.keyword IRONIES
dc.identifier.urn URN:NBN:fi:aalto-202206083623
dc.identifier.doi 10.1109/ACCESS.2022.3174097
dc.type.version publishedVersion


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