Detailed Information

Cited 0 time in webofscience Cited 1 time in scopus
Metadata Downloads

Multi-rate vehicle side slip angle estimation using low-cost GPS/IMU

Full metadata record
DC Field Value Language
dc.contributor.authorHong, S.B.-
dc.contributor.authorKang, C.M.-
dc.contributor.authorLee, S.-H.-
dc.contributor.authorChung, C.C.-
dc.date.accessioned2021-08-13T02:45:10Z-
dc.date.available2021-08-13T02:45:10Z-
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/102985-
dc.description.abstractThis paper proposes a side slip angle estimation method using a low-cost Global Positioning System (GPS)/Inertial Measurement Unit (IMU). To estimate the side slip angle, we use the yaw rate of IMU and the course angle of GPS. Planar lateral vehicle model-based estimator was designed to integrate the yaw rate of IMU and course angle of GPS. The proposed method was validated via an experiment.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Control, Robotics and Systems-
dc.titleMulti-rate vehicle side slip angle estimation using low-cost GPS/IMU-
dc.typeConference-
dc.contributor.affiliatedAuthorChung, C.C.-
dc.identifier.scopusid2-s2.0-85044452716-
dc.identifier.bibliographicCitation2017 17th International Conference on Control, Automation and Systems (ICCAS 2017), pp.35 - 40-
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.startPage35-
dc.citation.endPage40-
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.

Altmetrics

Total Views & Downloads

BROWSE