Vanishing point detection for self-driving car using harmony search algorithm
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Moon, Yoon Young | - |
dc.contributor.author | Geem, Zong Woo | - |
dc.contributor.author | Han, Gi-Tae | - |
dc.date.available | 2020-02-27T09:42:55Z | - |
dc.date.created | 2020-02-07 | - |
dc.date.issued | 2018-08 | - |
dc.identifier.issn | 2210-6502 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/3526 | - |
dc.description.abstract | Self-driving or autonomous vehicles require an ability to detect road lanes. In order to do so, a vanishing point should be first detected because the vanishing point exists on the extended lines of road lanes. For detecting the vanishing point, a random sample consensus (RANSAC) algorithm has been generally utilized. However, the performance of RANSAC is sometimes not so good but fluctuated. Thus, this study proposes a new approach to estimate the vanishing point using a harmony search (HS) algorithm. Results show that HS stably estimates vanishing points with respect to statistics when compared with RANSAC. We hope this model to be utilized in self-driving car in the future. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.isPartOf | SWARM AND EVOLUTIONARY COMPUTATION | - |
dc.subject | HEURISTIC ALGORITHM | - |
dc.subject | LANE DETECTION | - |
dc.subject | OPTIMIZATION | - |
dc.subject | RANSAC | - |
dc.subject | ENVIRONMENTS | - |
dc.subject | CONSENSUS | - |
dc.title | Vanishing point detection for self-driving car using harmony search algorithm | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000438005800008 | - |
dc.identifier.doi | 10.1016/j.swevo.2018.02.007 | - |
dc.identifier.bibliographicCitation | SWARM AND EVOLUTIONARY COMPUTATION, v.41, pp.111 - 119 | - |
dc.identifier.scopusid | 2-s2.0-85042057154 | - |
dc.citation.endPage | 119 | - |
dc.citation.startPage | 111 | - |
dc.citation.title | SWARM AND EVOLUTIONARY COMPUTATION | - |
dc.citation.volume | 41 | - |
dc.contributor.affiliatedAuthor | Moon, Yoon Young | - |
dc.contributor.affiliatedAuthor | Geem, Zong Woo | - |
dc.contributor.affiliatedAuthor | Han, Gi-Tae | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Self-driving car | - |
dc.subject.keywordAuthor | Autonomous car | - |
dc.subject.keywordAuthor | Lane detection | - |
dc.subject.keywordAuthor | Vanishing point | - |
dc.subject.keywordAuthor | RANSAC | - |
dc.subject.keywordAuthor | Harmony search | - |
dc.subject.keywordPlus | HEURISTIC ALGORITHM | - |
dc.subject.keywordPlus | LANE DETECTION | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | RANSAC | - |
dc.subject.keywordPlus | ENVIRONMENTS | - |
dc.subject.keywordPlus | CONSENSUS | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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