Surfel 기반 깊이 이미지 업데이트를 통한 동적물체 제거 맵 생성 기법

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dc.contributor.author서동욱ko
dc.contributor.author신성재ko
dc.contributor.author명현ko
dc.date.accessioned2023-03-22T08:02:32Z-
dc.date.available2023-03-22T08:02:32Z-
dc.date.created2023-03-20-
dc.date.issued2023-02-15-
dc.identifier.citation제 18회 한국로봇종합학술대회 (KRoC 2023)-
dc.identifier.urihttp://hdl.handle.net/10203/305757-
dc.description.abstractIn this paper, we propose a novel algorithm for reconstructing a map with removed dynamic objects based on surfel. The proposed method removes the surfels corresponding to dynamic objects by comparing the depth from the sensor and the depth of the surfels from the map projected onto the camera frame and updating them. As a result of our algorithm, we were able to successfully reconstruct a static map in an indoor environment where a large number of people pass. We compared the raw point cloud converted from depth image, octomap[3], and the proposed method to validate the performance of our works.-
dc.languageKorean-
dc.publisher한국로봇학회 (KROS)-
dc.titleSurfel 기반 깊이 이미지 업데이트를 통한 동적물체 제거 맵 생성 기법-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname제 18회 한국로봇종합학술대회 (KRoC 2023)-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocation휘닉스 평창-
dc.contributor.localauthor명현-
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EE-Conference Papers(학술회의논문)
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