Object Vehicle Motion Prediction based on Dynamic Occupancy Grid Map Utilizing Cascaded Support Vector Machine
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, D.J. | - |
dc.contributor.author | Lee, S.-H. | - |
dc.contributor.author | Chung, C.C. | - |
dc.date.accessioned | 2021-08-09T06:30:12Z | - |
dc.date.available | 2021-08-09T06:30:12Z | - |
dc.date.created | 2021-08-09 | - |
dc.date.issued | 2019-10-15 | - |
dc.identifier.issn | 1598-7833 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/84778 | - |
dc.description.abstract | This paper presents a motion prediction scheme of object vehicles based on the dynamic occupancy grid map considering movement of the vehicles by applying a temporal flow and a cascaded algorithm for support vector machine (SVM). We divided occupancy grid map into two types of upper-level and lower level. The upper-level occupancy grid is used to predict motion that the object vehicle can move into the ego vehicle and the lower-level one is needed for decision using the SVM for sensor resolution. The presented algorithm was validated with a experimental data set and the overall accuracy of classification was obtained 90.42% from a confusion matrix. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Object Vehicle Motion Prediction based on Dynamic Occupancy Grid Map Utilizing Cascaded Support Vector Machine | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | Chung, C.C. | - |
dc.identifier.scopusid | 2-s2.0-85079103161 | - |
dc.identifier.bibliographicCitation | 2019 19th International Conference on Control, Automation and Systems (ICCAS), pp.496 - 500 | - |
dc.relation.isPartOf | 2019 19th International Conference on Control, Automation and Systems (ICCAS) | - |
dc.relation.isPartOf | 2019 19th International Conference on Control, Automation and Systems (ICCAS) | - |
dc.citation.title | 2019 19th International Conference on Control, Automation and Systems (ICCAS) | - |
dc.citation.startPage | 496 | - |
dc.citation.endPage | 500 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | ICC Jeju | - |
dc.citation.conferenceDate | 2019-10-15 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 1 | - |
dc.identifier.url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8971617 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.