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SAFE-STOP System: Tactical Intention Awareness Based Emergency Collision Avoidance for Malicious Cut-in of Surrounding Vehicle

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dc.contributor.authorYang, Jin Ho-
dc.contributor.authorKim, Dae Jung-
dc.contributor.authorChoi, Woo Young-
dc.contributor.authorChung, Chung Choo-
dc.date.accessioned2022-07-06T13:03:19Z-
dc.date.available2022-07-06T13:03:19Z-
dc.date.issued2021-09-
dc.identifier.issn2153-0009-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/140977-
dc.description.abstractThis paper proposes a Stochastic risk Assessment For Emergency-Speed reduction by Tactical intention awareness-based On-road Proactive safety (SAFE-STOP) system. This practical system can cope with a surrounding vehicle's unexpected cut-in maneuver with which a generic safety system cannot deal. To this end, we also design novel decision-making for collision-risk assessment in longitudinal and lateral directions. Since the proposed system is based on a tactical intention awareness utilizing the surrounding vehicle's motion characteristics, an ego vehicle can avoid a collision with an emergency deceleration in advance. We conduct a comparative analysis through simulations under a misbehaved cut-in situation to validate the proactive system. We observed that the proposed system could proactively avoid the accident by 0.75 [sec] early detection, while the crash has been occurred by the generic system.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleSAFE-STOP System: Tactical Intention Awareness Based Emergency Collision Avoidance for Malicious Cut-in of Surrounding Vehicle-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ITSC48978.2021.9564909-
dc.identifier.scopusid2-s2.0-85118437093-
dc.identifier.wosid000841862501081-
dc.identifier.bibliographicCitationIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, v.2021-September, pp 1533 - 1540-
dc.citation.titleIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC-
dc.citation.volume2021-September-
dc.citation.startPage1533-
dc.citation.endPage1540-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTransportation-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTransportation Science & Technology-
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