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Autonomous Driving Technology Trend and Future Outlook: Powered by Artificial Intelligence

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dc.contributor.author김산민-
dc.contributor.author김영석-
dc.contributor.author전형석-
dc.contributor.author금동석-
dc.contributor.author이기범-
dc.date.accessioned2022-10-17T04:40:07Z-
dc.date.available2022-10-17T04:40:07Z-
dc.date.created2022-10-17-
dc.date.issued2022-10-
dc.identifier.issn1225-6382-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85708-
dc.description.abstractAutonomous driving is not a new concept, and relevant technology has been developed for a long time. However, in recent years, autonomous driving technology has been leaping forward, fueled by the advance of AI-based technologies. In particular, the essential components of autonomous driving, such as perception, prediction, and planning, deliver entirely different performances from those of the pre-AI era. In this study, the trends and development of autonomous driving technology will be analyzed by decomposing it into element technologies ranging from perception, prediction, and planning, focusing on AI-based research. For the perception part, LiDAR and camera-based research and sensor fusion technologies will be examined. For the prediction part, we will look into various prediction paradigms such as interaction-aware and map-based prediction. The planning part will cover maneuver decisions, motion planning, and reinforcement learning-based methods.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국자동차공학회-
dc.relation.isPartOf한국자동차공학회 논문집-
dc.titleAutonomous Driving Technology Trend and Future Outlook: Powered by Artificial Intelligence-
dc.title.alternative자율주행 기술 동향 및 발전 방향: AI를 중심으로-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.7467/KSAE.2022.30.10.819-
dc.identifier.bibliographicCitation한국자동차공학회 논문집, v.30, no.10, pp.819 - 830-
dc.identifier.kciidART002879618-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85142364028-
dc.citation.endPage830-
dc.citation.startPage819-
dc.citation.title한국자동차공학회 논문집-
dc.citation.volume30-
dc.citation.number10-
dc.contributor.affiliatedAuthor이기범-
dc.subject.keywordAuthor자율주행 자동차-
dc.subject.keywordAuthor아기텍처-
dc.subject.keywordAuthor인공지능-
dc.subject.keywordAuthor판단 및 경로생성-
dc.subject.keywordAuthor인지-
dc.subject.keywordAuthor예측-
dc.subject.keywordAuthorAutonomous vehicle-
dc.subject.keywordAuthorArchitecture-
dc.subject.keywordAuthorArtificial intelligence-
dc.subject.keywordAuthorDecision and planning-
dc.subject.keywordAuthorPerception-
dc.subject.keywordAuthorPrediction-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
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