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저비용 3D LiDAR 기반 객체 탐지 효율적 최적화 방안 연구
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김준형 | - |
| dc.contributor.author | 김민창 | - |
| dc.contributor.author | 박형준 | - |
| dc.contributor.author | 김도선 | - |
| dc.contributor.author | 장하늘 | - |
| dc.contributor.author | 김태웅 | - |
| dc.contributor.author | 강창묵 | - |
| dc.date.accessioned | 2026-03-20T01:30:38Z | - |
| dc.date.available | 2026-03-20T01:30:38Z | - |
| dc.date.issued | 2026-01 | - |
| dc.identifier.issn | 1976-5622 | - |
| dc.identifier.issn | 2233-4335 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211408 | - |
| dc.description.abstract | Recent research has focused on integrating low-cost 3D LiDAR sensors into vehicles to advance autonomous driving technologies. However, most 3D object detection algorithms are developed and validated using high-cost 3D LiDAR sensors. Therefore, this study evaluates the performance of current 3D object detection algorithms within a low-cost 3D LiDAR environment and provides a comparative analysis to identify their effectiveness. | - |
| dc.format.extent | 7 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 제어·로봇·시스템학회 | - |
| dc.title | 저비용 3D LiDAR 기반 객체 탐지 효율적 최적화 방안 연구 | - |
| dc.title.alternative | A Study on Efficient Optimization Methods for Low-cost 3D LiDAR- based Object Detection | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.5302/J.ICROS.2026.25.0210 | - |
| dc.identifier.scopusid | 2-s2.0-105029465741 | - |
| dc.identifier.bibliographicCitation | 제어.로봇.시스템학회 논문지, v.32, no.1, pp 22 - 28 | - |
| dc.citation.title | 제어.로봇.시스템학회 논문지 | - |
| dc.citation.volume | 32 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 22 | - |
| dc.citation.endPage | 28 | - |
| dc.type.docType | Y | - |
| dc.identifier.kciid | ART003292485 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordPlus | Automobile drivers | - |
| dc.subject.keywordPlus | Autonomous vehicles | - |
| dc.subject.keywordPlus | Computer vision | - |
| dc.subject.keywordPlus | Cost benefit analysis | - |
| dc.subject.keywordPlus | Deep learning | - |
| dc.subject.keywordPlus | Intelligent robots | - |
| dc.subject.keywordPlus | Object recognition | - |
| dc.subject.keywordPlus | Optical radar | - |
| dc.subject.keywordPlus | Signal detection | - |
| dc.subject.keywordAuthor | autonomous vehicle | - |
| dc.subject.keywordAuthor | LiDAR | - |
| dc.subject.keywordAuthor | deep learning | - |
| dc.subject.keywordAuthor | point cloud | - |
| dc.subject.keywordAuthor | object detection | - |
| dc.subject.keywordAuthor | low cost | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE12543385&buildDate=2026-01-06+16%3A21%3A36&nowDate=20260106_1&cdnUrl=https%3A%2F%2Fcdn.dbpia.co.kr%2Fstatic&buildTime=20260106162136&minify=.min&appVersion=1.0.0&language=ko_KR&hasTopBanner=true | - |
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