DeepLab V2 기반 실내 시설물 손상 탐지 및 추출 알고리즘
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김선영 | - |
dc.contributor.author | 강창호 | - |
dc.date.accessioned | 2023-03-27T06:40:03Z | - |
dc.date.available | 2023-03-27T06:40:03Z | - |
dc.date.created | 2023-03-27 | - |
dc.date.issued | 2023-03 | - |
dc.identifier.issn | 1976-5622 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/21545 | - |
dc.description.abstract | This paper proposes an algorithm that displays the damage of main indoor facilities by detecting and extracting information. First, to extract information for each facility structure, a facility segmentation algorithm is implemented by using DeepLab V2. For efficient learning of the network, the pretrained ResNet101 network is used for transfer learning. In addition, the damage extraction algorithm of the indoor facilities is also based on DeepLab V2, the same network structure used in facility segmentation. It is confirmed through a robot experiment that the accuracy of representing the damage information regardless of near and far facilities is greatly improved when the facility segmentation algorithm is used. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 제어·로봇·시스템학회 | - |
dc.title | DeepLab V2 기반 실내 시설물 손상 탐지 및 추출 알고리즘 | - |
dc.title.alternative | Indoor Facility Damage Detection and Extraction Algorithm Based on DeepLab V2 | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 강창호 | - |
dc.identifier.doi | 10.5302/J.ICROS.2023.23.0011 | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11218540 | - |
dc.identifier.bibliographicCitation | 제어.로봇.시스템학회 논문지, v.29, no.3, pp.258 - 263 | - |
dc.relation.isPartOf | 제어.로봇.시스템학회 논문지 | - |
dc.citation.title | 제어.로봇.시스템학회 논문지 | - |
dc.citation.volume | 29 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 258 | - |
dc.citation.endPage | 263 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002934428 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | deep learning | - |
dc.subject.keywordAuthor | DeepLab V2 | - |
dc.subject.keywordAuthor | facility damage information | - |
dc.subject.keywordAuthor | crack detection and extraction | - |
dc.subject.keywordAuthor | image segmentation | - |
dc.subject.keywordAuthor | . | - |
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