Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Flocking-based cooperative autonomous driving using vehicle-to-everything communication

Full metadata record
DC Field Value Language
dc.contributor.authorPark, Y.-
dc.contributor.authorKuk, S.-
dc.contributor.authorHan, S.-
dc.contributor.authorLim, S.-
dc.contributor.authorKim, H.-
dc.date.accessioned2021-09-01T15:08:15Z-
dc.date.available2021-09-01T15:08:15Z-
dc.date.created2021-06-19-
dc.date.issued2019-05-02-
dc.identifier.issn0013-5194-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/65464-
dc.description.abstractCurrent autonomous driving relies on sensors that can only observe the vehicles in the line of sight (LoS), rendering the driving decisions to hinge on the physical movements of the visible vehicles in proximity. Furthermore, it is practically impossible to sense their intentions. Consequently, driving decisions that account for non-LoS vehicles and the intentions of neighbouring vehicles are hard to achieve. This Letter shows the potential of combining vehicular communication with autonomous driving. In particular, the authors show how vehicular communication can assist autonomous driving decision, with a case of a controller that mimics the flocking behaviours in nature.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherINST ENGINEERING TECHNOLOGY-IET-
dc.titleFlocking-based cooperative autonomous driving using vehicle-to-everything communication-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, H.-
dc.identifier.doi10.1049/el.2018.6750-
dc.identifier.scopusid2-s2.0-85065200984-
dc.identifier.wosid000466534800020-
dc.identifier.bibliographicCitationELECTRONICS LETTERS, v.55, no.9, pp.535 - 536-
dc.relation.isPartOfELECTRONICS LETTERS-
dc.citation.titleELECTRONICS LETTERS-
dc.citation.volume55-
dc.citation.number9-
dc.citation.startPage535-
dc.citation.endPage536-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE