Predictive virtual lane using relative motions between a vehicle and lanes
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Son, Young Seop | - |
dc.contributor.author | Lee, Seung-Hi | - |
dc.contributor.author | Chung, Chung Choo | - |
dc.date.accessioned | 2022-07-16T07:55:01Z | - |
dc.date.available | 2022-07-16T07:55:01Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2013-10 | - |
dc.identifier.issn | 1931-0587 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/161777 | - |
dc.description.abstract | In this paper, we propose a new lane estimation method to resolve poor detection performance of a camera system using the relative movement between a vehicle and lanes. In implementation of lane keep system (LKS) or lane change control (LXC), it is necessary to build a robust sensing system in obtaining the road information. When reliable road information is not available, we need virtual lane information to control the steering system. Thus we propose a predictive virtual lane (PVL) method to improve lane detection performance using the relative movement between a vehicle and lanes. The proposed PVL enhances the control performance of LKS/LXC for a while even for the detection failures of one side and/or both side lane marks. The performance of the proposed method was evaluated via simulations implemented with CarSim and Matlab/Simulink. Its performance was also validated with a test vehicle on highway system. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Predictive virtual lane using relative motions between a vehicle and lanes | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Chung Choo | - |
dc.identifier.doi | 10.1109/IVS.2013.6629560 | - |
dc.identifier.scopusid | 2-s2.0-84892411312 | - |
dc.identifier.bibliographicCitation | IEEE Intelligent Vehicles Symposium, Proceedings, pp.771 - 776 | - |
dc.relation.isPartOf | IEEE Intelligent Vehicles Symposium, Proceedings | - |
dc.citation.title | IEEE Intelligent Vehicles Symposium, Proceedings | - |
dc.citation.startPage | 771 | - |
dc.citation.endPage | 776 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Control performance | - |
dc.subject.keywordPlus | Detection performance | - |
dc.subject.keywordPlus | Estimation methods | - |
dc.subject.keywordPlus | Lane keep systems | - |
dc.subject.keywordPlus | Relative motion | - |
dc.subject.keywordPlus | Relative movement | - |
dc.subject.keywordPlus | Robust sensing | - |
dc.subject.keywordPlus | Steering systems | - |
dc.subject.keywordPlus | Intelligent vehicle highway systems | - |
dc.subject.keywordPlus | Roads and streets | - |
dc.subject.keywordPlus | Sensors | - |
dc.subject.keywordPlus | Vehicles | - |
dc.subject.keywordPlus | Automobile steering equipment | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/6629560 | - |
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