Spatial distribution extraction of visible light IDs for supporting robotic rescue efforts

Nobuhide Yokota, Hiroshi Yasaka, Kazuya Sugiyasu, Hideyuki Takahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An extraction method of spatial distribution of visible light IDs captured by using an image sensor is proposed. A unique spectral shape of a visible light ID with a non-return-to-zero pattern is exploited for distinguishing the ID signals from noises. A proof-of-concept experiment confirms that only the ID signals having a non-return-to-zero pattern can be extracted from an image sequence while DC and blinking components of visible lights are filtered out. Our method is suitable to simultaneously obtain precise situations and positions from rescuees without using special devices, and it can be used to support robotic rescue efforts after disasters.

Original languageEnglish
Title of host publication2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-8
Number of pages2
ISBN (Electronic)9781728135755
DOIs
Publication statusPublished - 2019 Oct
Event8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
Duration: 2019 Oct 152019 Oct 18

Publication series

Name2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference8th IEEE Global Conference on Consumer Electronics, GCCE 2019
Country/TerritoryJapan
CityOsaka
Period19/10/1519/10/18

Keywords

  • Drone
  • Imgae sensor
  • Internet of things
  • Robot
  • Visible light ID

ASJC Scopus subject areas

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

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