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 -
Appears in Collections:
Marine Industry Research Division > Maritime ICT & Mobility Research Department > 2. Conference Papers
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