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Visual Odometry에서 전통적 특징점 기반 방법과 딥러닝 기반 방법의 성능 비교
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 정진우 | - |
| dc.date.accessioned | 2026-01-17T00:01:32Z | - |
| dc.date.available | 2026-01-17T00:01:32Z | - |
| dc.date.issued | 2025-04-26 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/62987 | - |
| dc.title | Visual Odometry에서 전통적 특징점 기반 방법과 딥러닝 기반 방법의 성능 비교 | - |
| dc.type | Conference | - |
| dc.citation.startPage | 206 | - |
| dc.citation.endPage | 208 | - |
| dc.citation.conferenceName | 2025년도 한국지능시스템학회 춘계학술대회 | - |
| dc.citation.conferencePlace | 대한민국 | - |
| dc.citation.conferencePlace | 국립금오공과대학교 글로벌관 | - |
| dc.citation.conferenceDate | 2025-04-25 ~ 2025-04-26 | - |
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Related Researcher
- Jung, Jin Woo
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)