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road geometry estimation for vehicle-to-vehicle based connected safety systems
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Changsup | - |
| dc.contributor.author | Park, Jongwon | - |
| dc.contributor.author | HUH, KUN SOO | - |
| dc.contributor.author | Lee, Jeonghee | - |
| dc.contributor.author | Chung, Taeyoung | - |
| dc.date.accessioned | 2022-07-16T02:58:54Z | - |
| dc.date.available | 2022-07-16T02:58:54Z | - |
| dc.date.created | 2021-05-13 | - |
| dc.date.issued | 2014-09 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/159093 | - |
| dc.description.abstract | To develop the collision warning system, a proper target vehicle selection for each safety service is important. In this study, estimation of the road geometry based on vehicle-to-vehicle (V2V) communication is proposed using the third-order polynomial road model. The received information of the trajectory history for each remote vehicle through communication is used to model the road geometry. Finally, the commercial software was used to simulate and validate the proposed algorithm. Topics / Active safety and driver assistance systems | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | jsae | - |
| dc.title | road geometry estimation for vehicle-to-vehicle based connected safety systems | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | HUH, KUN SOO | - |
| dc.identifier.bibliographicCitation | proceeding of the 12th AVEC, pp.1 - 6 | - |
| dc.relation.isPartOf | proceeding of the 12th AVEC | - |
| dc.citation.title | proceeding of the 12th AVEC | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 6 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Proceeding | - |
| dc.description.journalClass | 3 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | other | - |
| dc.identifier.url | https://go.fisita.com/store/papers/AVEC14/TuD1-2?search=53616c7465645f5fe631c4234a7a901b8ce2ac669770cc88e9714a406b3fd7508f6cb55d879bc798675c083943b4e2c7696b7bd6bbcc8fb9eb2327ddad25948f5a57c155a8713ba8a37dd3e5224a369a50d8cb5a08ad73945922f8d7790af29fbc611902cb979f79fe651bf23cdfe827fe0d3a4274650b7985403e5b062860cc6aab01d5f8917ed9 | - |
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