Hierarchical topological modeling of marine environment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, J. | - |
dc.contributor.author | Lee, Y. | - |
dc.contributor.author | Kim, T. | - |
dc.contributor.author | Choi, H.-T. | - |
dc.date.accessioned | 2023-12-22T08:30:59Z | - |
dc.date.available | 2023-12-22T08:30:59Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8535 | - |
dc.description.abstract | This paper presents a method of topological modeling for marine environment. The proposed method detects landmarks from underwater and above-water environment. The topological model is acquired by applying Delaunay triangulation to the detected landmarks. Nodes are defined as triangulated region of Delaunay triangulation and edges represent adjacency between two nodes. The proposed method constructs a hierarchical topological model considering detectable range of each sensor. It consists of two levels of topological maps. The first level map covers entire environment and each second level map represent details of each node of the first level map. The proposed method provides an efficient modeling method for marine environment. Experimental results are provided for a sea trial to verify the proposed environmental modeling method. The proposed method could be helpful for marine vehicles to perform given tasks. ? 2016 IEEE. | - |
dc.format.extent | 4 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Hierarchical topological modeling of marine environment | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/URAI.2016.7734000 | - |
dc.identifier.scopusid | 2-s2.0-85000642869 | - |
dc.identifier.bibliographicCitation | 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016, pp 877 - 880 | - |
dc.citation.title | 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 | - |
dc.citation.startPage | 877 | - |
dc.citation.endPage | 880 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Intelligent robots | - |
dc.subject.keywordPlus | Maps | - |
dc.subject.keywordPlus | Surveying | - |
dc.subject.keywordPlus | Triangulation | - |
dc.subject.keywordPlus | Delau-nay triangulations | - |
dc.subject.keywordPlus | Environmental model | - |
dc.subject.keywordPlus | List keywords heres | - |
dc.subject.keywordPlus | Marine environment | - |
dc.subject.keywordPlus | Marine vehicles | - |
dc.subject.keywordPlus | No more than 5 | - |
dc.subject.keywordPlus | Topological models | - |
dc.subject.keywordPlus | Water environments | - |
dc.subject.keywordPlus | Topology | - |
dc.subject.keywordAuthor | List keywords here | - |
dc.subject.keywordAuthor | No more than 5 | - |
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