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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ahn, Heungju | - |
| dc.contributor.author | Dang, Van Chien | - |
| dc.contributor.author | Seo, Hyeon Cheol | - |
| dc.contributor.author | Lee, Sang Cheol | - |
| dc.date.accessioned | 2023-12-26T19:12:41Z | - |
| dc.date.available | 2023-12-26T19:12:41Z | - |
| dc.date.created | 2021-01-14 | - |
| dc.date.issued | 2020-11-16 | - |
| dc.identifier.isbn | 9781643681344 | - |
| dc.identifier.issn | 0922-6389 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/46961 | - |
| dc.description.abstract | Objective of this paper is twofold. The first one is to study the mapping property and unified form of the component equations of the unknown node in bilateration, and the second one is to introduce the concept model for human-following robot based on bilateration. Bilateration needs only two known nodes and two distances’ data. Because of the simple sensor arrangement in bilateration, it needs less computation and uses less number of unavoidable erroneous distances compared to the trilateration. © 2020 The authors and IOS Press. | - |
| dc.language | English | - |
| dc.publisher | IOS Press | - |
| dc.relation.ispartof | Frontiers in Artificial Intelligence and Applications | - |
| dc.title | Mapping Property of Bilateration and Its Application to Human-Following Robot | - |
| dc.type | Conference Paper | - |
| dc.identifier.doi | 10.3233/faia200732 | - |
| dc.identifier.wosid | 000661247100053 | - |
| dc.identifier.scopusid | 2-s2.0-85101539433 | - |
| dc.identifier.bibliographicCitation | Ahn, Heungju. (2020-11-16). Mapping Property of Bilateration and Its Application to Human-Following Robot. 6th International Conference on Fuzzy Systems and Data Mining(FSDM 2020), 546–552. doi: 10.3233/faia200732 | - |
| dc.identifier.url | https://opensz.oss-cn-beijing.aliyuncs.com/FSDM2020/file/FSDM2020-Conference%20Program.pdf | - |
| dc.citation.conferenceDate | 2020-11-13 | - |
| dc.citation.conferencePlace | CC | - |
| dc.citation.conferencePlace | Xiamen | - |
| dc.citation.endPage | 552 | - |
| dc.citation.startPage | 546 | - |
| dc.citation.title | 6th International Conference on Fuzzy Systems and Data Mining(FSDM 2020) | - |
