Using DIALux and Regression-based Machine Learning Algorithm for Designing Indoor Visible Light Positioning (VLP) and Reducing Training Data Collection

Shao Hua Song, Dong Chang Lin, Yun Han Chang, Yun Shen Lin, Chi Wai Chow, Yang Liu, Chien Hung Yeh, Kun Hsien Lin, Yi Chang Wang, Yi Yuan Chen

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

2 Scopus citations

Abstract

We propose and demonstrate using DIALux software with regression-machine-learning for designing visible-light-positioning (VLP) systems. Besides, the proposed scheme can also reduce the burden of training data collection in VLP systems.

Original languageEnglish
Title of host publication2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580866
DOIs
StatePublished - Jun 2021
Event2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - San Francisco, United States
Duration: 6 Jun 202111 Jun 2021

Publication series

Name2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings

Conference

Conference2021 Optical Fiber Communications Conference and Exhibition, OFC 2021
Country/TerritoryUnited States
CitySan Francisco
Period6/06/2111/06/21

Keywords

  • (060.2605) Free-space optical communication
  • (060.4510) Optical communications

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