SpinLight: A high accuracy and robust light positioning system for indoor applications

Bo Xie, Guang Tan, Tian He

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

59 Scopus citations

Abstract

This paper presents SpinLight, an indoor positioning system that uses infrared LED lamps as signal transmitters, and light sensors as receivers. The main idea is to divide the space into spatial beams originating from the light source, and identify each beam with a unique timed sequence of light signals. This sequence is created by a coded shade that covers and rotates around the LED, blocking the light or allowing it to pass through according to pre-defined patterns. The receiver, equipped with a light sensor, is able to determine its spatial beam by detecting the light signals, followed by optimization schemes to refine its location within that beam. We present both 2D and 3D localization designs, demonstrated by a prototype implementation. Experiments show that SpinLight produces a median location error of 3.8 cm, with a 95th percentile of 6.8 cm. The receiver design is very low power and thus can operate for months to years from a button coin battery.

Original languageEnglish (US)
Title of host publicationSenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages211-223
Number of pages13
ISBN (Electronic)9781450336314
DOIs
StatePublished - Nov 1 2015
Event13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 - Seoul, Korea, Republic of
Duration: Nov 1 2015Nov 4 2015

Publication series

NameSenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Other

Other13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015
Country/TerritoryKorea, Republic of
CitySeoul
Period11/1/1511/4/15

Bibliographical note

Funding Information:
We thank the anonymous reviewers for their helpful commengts, and our shepherd, Koen Langendoen, whose feedback helped improve the paper and its presentation. Guang Tan was supported by NSFC under grant 61379135, Shenzhen Basic Research Funds under grant JCYJ20140610151856733, and Shenzhen Overseas High-Level Talents Innovation and Entrepreneurship Funds No. KQCX20140520154115026.

Publisher Copyright:
© 2015 ACM.

Keywords

  • Indoor positioning
  • Light
  • Sensing

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