Mapping property of bilateration and its application to human-following robot

Heungju Ahn, Van Chien Dang, Hyeon Cheol Seo, Sang C. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
EditorsAntonio J. Tallon-Ballesteros
PublisherIOS Press BV
Pages546-552
Number of pages7
ISBN (Electronic)9781643681344
DOIs
StatePublished - 2020
Event6th International Conference on Fuzzy Systems and Data Mining, FSDM 2020 - Virtual, Online, China
Duration: 13 Nov 202016 Nov 2020

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume331
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference6th International Conference on Fuzzy Systems and Data Mining, FSDM 2020
Country/TerritoryChina
CityVirtual, Online
Period13/11/2016/11/20

Bibliographical note

Publisher Copyright:
© 2020 The authors and IOS Press.

Keywords

  • bilateration
  • human-following
  • hyperbola
  • mapping property
  • trilateration

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