Autonomous Driving Technology Trend and Future Outlook: Powered by Artificial Intelligence
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김산민 | - |
dc.contributor.author | 김영석 | - |
dc.contributor.author | 전형석 | - |
dc.contributor.author | 금동석 | - |
dc.contributor.author | 이기범 | - |
dc.date.accessioned | 2022-10-17T04:40:07Z | - |
dc.date.available | 2022-10-17T04:40:07Z | - |
dc.date.created | 2022-10-17 | - |
dc.date.issued | 2022-10 | - |
dc.identifier.issn | 1225-6382 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85708 | - |
dc.description.abstract | Autonomous 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.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 한국자동차공학회 | - |
dc.relation.isPartOf | 한국자동차공학회 논문집 | - |
dc.title | Autonomous Driving Technology Trend and Future Outlook: Powered by Artificial Intelligence | - |
dc.title.alternative | 자율주행 기술 동향 및 발전 방향: AI를 중심으로 | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.7467/KSAE.2022.30.10.819 | - |
dc.identifier.bibliographicCitation | 한국자동차공학회 논문집, v.30, no.10, pp.819 - 830 | - |
dc.identifier.kciid | ART002879618 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85142364028 | - |
dc.citation.endPage | 830 | - |
dc.citation.startPage | 819 | - |
dc.citation.title | 한국자동차공학회 논문집 | - |
dc.citation.volume | 30 | - |
dc.citation.number | 10 | - |
dc.contributor.affiliatedAuthor | 이기범 | - |
dc.subject.keywordAuthor | 자율주행 자동차 | - |
dc.subject.keywordAuthor | 아기텍처 | - |
dc.subject.keywordAuthor | 인공지능 | - |
dc.subject.keywordAuthor | 판단 및 경로생성 | - |
dc.subject.keywordAuthor | 인지 | - |
dc.subject.keywordAuthor | 예측 | - |
dc.subject.keywordAuthor | Autonomous vehicle | - |
dc.subject.keywordAuthor | Architecture | - |
dc.subject.keywordAuthor | Artificial intelligence | - |
dc.subject.keywordAuthor | Decision and planning | - |
dc.subject.keywordAuthor | Perception | - |
dc.subject.keywordAuthor | Prediction | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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