Detailed Information

Cited 0 time in webofscience Cited 3 time in scopus
Metadata Downloads

Vision-based autonomous indoor valet parking system

Full metadata record
DC Field Value Language
dc.contributor.authorKang, D.H.-
dc.contributor.authorKang, C.M.-
dc.contributor.authorKim, J.-S.-
dc.contributor.authorKim, S.-
dc.contributor.authorKim, W.-Y.-
dc.contributor.authorLee, S.-H.-
dc.contributor.authorChung, C.C.-
dc.date.accessioned2021-08-13T02:45:07Z-
dc.date.available2021-08-13T02:45:07Z-
dc.date.created2021-08-13-
dc.date.issued2017-10-18-
dc.identifier.issn1598-7833-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/102984-
dc.description.abstractThis paper briefly introduces our on-going research on in-door autonomous valet parking (AVP) using only camera vision sensors. The AVP consists of autonomous driving and parking. Autonomous driving utilizes waypoints given by an array of ceiling LEDs to develop a driving path for ultimate waypoint tracking. The LEDs are detected by a top-front-view camera mounted on the vehicles windshield. Autonomous parking utilizes parking stripes to detect parking vehicles pose with respect to the target parking spot. The parking spot is detected by a rear-view camera mounted on the vehicles rear window. A clothoid parking path is generated with surround obstacles being considered to complete autonomous parking. The AVP research is already showing some prospective results. Some experimental results of waypoint and parking spot detections are presented, together with some simulation results of path planning and control.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Control, Robotics and Systems-
dc.titleVision-based autonomous indoor valet parking system-
dc.typeConference-
dc.contributor.affiliatedAuthorChung, C.C.-
dc.identifier.scopusid2-s2.0-85044453811-
dc.identifier.bibliographicCitation2017 17th International Conference on Control, Automation and Systems (ICCAS 2017), pp.41 - 46-
dc.relation.isPartOf2017 17th International Conference on Control, Automation and Systems (ICCAS 2017)-
dc.relation.isPartOf2017 17th International Conference on Control, Automation and Systems (ICCAS 2017)-
dc.citation.title2017 17th International Conference on Control, Automation and Systems (ICCAS 2017)-
dc.citation.startPage41-
dc.citation.endPage46-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlaceRamada Plaza, Jeju-
dc.citation.conferenceDate2017-10-18-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 전기공학전공 > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Chung, Chung Choo photo

Chung, Chung Choo
COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE