수중 이미지 향상을 통한 해양 쓰레기 검출 및 확률지도 작성
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 강길환 | - |
dc.contributor.author | 손진선 | - |
dc.contributor.author | 양건모 | - |
dc.contributor.author | 박요섭 | - |
dc.contributor.author | 조영근 | - |
dc.date.accessioned | 2022-07-27T23:50:25Z | - |
dc.date.available | 2022-07-27T23:50:25Z | - |
dc.date.created | 2022-07-20 | - |
dc.date.issued | 2022-05-12 | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/43109 | - |
dc.description.abstract | This paper introduces the system of reconstructing underwater trash map. First, our systems improve performance of underwater object detection by using deep learning-based image enhancement. Also, we prove that using enhanced image, it needs a little labeled data compare to underwater images. Finally, we reconstruct underwater 2D trash map by stitching images and detecting trash coordinates. | - |
dc.description.uri | 2 | - |
dc.publisher | 한국로봇학회 | - |
dc.relation.isPartOf | 제17회 한국로봇종합학술대회 논문집 | - |
dc.title | 수중 이미지 향상을 통한 해양 쓰레기 검출 및 확률지도 작성 | - |
dc.title.alternative | Marine Debris Detection and Mapping with Underwater Image Enhancement | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2022-05-11 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | 휘닉스파트 | - |
dc.citation.title | 제17회 한국로봇종합학술대회 (KRoC 2022) | - |
dc.contributor.alternativeName | 박요섭 | - |
dc.identifier.bibliographicCitation | 제17회 한국로봇종합학술대회 (KRoC 2022) | - |
dc.description.journalClass | 2 | - |