Detailed Information

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

APF를 이용한 차량 충돌 회피 경로 계획 및 추종제어

Full metadata record
DC Field Value Language
dc.contributor.author윤홍규-
dc.contributor.author윤육현-
dc.contributor.author박장현-
dc.date.accessioned2021-07-30T05:24:36Z-
dc.date.available2021-07-30T05:24:36Z-
dc.date.created2021-05-14-
dc.date.issued2018-06-
dc.identifier.issn2713-7163-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4690-
dc.description.abstractThis paper proposes collision avoidance path planning based on Artificial Potential Field(APF) in dynamic driving environment. Repulsive potential fields constructed by using obstacle information and attractive potential fields based on road information are used in the proposed approach. Through this approach, a collision avoidance path is configured, considering the changes in the gradient descent of potential field; this potential field should be based on the surrounding information. The stanley method is used for planned collision avoidance in path following. Dynamic driving environment is constructed with the application of emergency braking and cut-in of the target vehicle. Also, the validity of the proposed APF collision avoidance path planning has been verified, using CarSim and MATLAB / Simulink.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국자동차공학회-
dc.titleAPF를 이용한 차량 충돌 회피 경로 계획 및 추종제어-
dc.title.alternativeCollision Avoidance Path Planning and Tracking Control for Vehicle using Artificial Potential Field-
dc.typeArticle-
dc.contributor.affiliatedAuthor박장현-
dc.identifier.bibliographicCitation2018 한국자동차공학회 춘계학술대회, pp.665 - 669-
dc.relation.isPartOf2018 한국자동차공학회 춘계학술대회-
dc.citation.title2018 한국자동차공학회 춘계학술대회-
dc.citation.startPage665-
dc.citation.endPage669-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthorPath Planning(경로 계획)-
dc.subject.keywordAuthorAutonomous Driving(자율 주행)-
dc.subject.keywordAuthorPath Tracking(경로 추종)-
dc.subject.keywordAuthorArtificial Potential Field(인공 포텐셜 필드)-
dc.subject.keywordAuthorEmergency Braking(긴급 제동)-
dc.subject.keywordAuthorCut-in(끼어들기)-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07546649-
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE