Neural network based indoor positioning technique in optical camera communication system

Md Shareef Ifthekhar, Nirzhar Saha, Yeong Min Jang

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

17 Citations (Scopus)

Abstract

Indoor positioning technique is one of the key research issues due to highly demandable market value to provide Location Based Services (LBS) using smart phone. In optical camera communication (OCC) case one of the main advantages in indoor navigation system is LED itself can transmit location information along with unique feature of a camera to detect location using photogrammetry. However due to nonlinear and highly complicated relationship between 3D scenery and pictured 2D image need to develop complex mathematical model to estimate position of camera using photogrammetry. Neural network can be used to learn this complicated relationship without developing any complex mathematical model. We have used feed forward neural network to estimate camera position using coordinate information transmitted by LED.

Original languageEnglish
Title of host publicationIPIN 2014
Subtitle of host publicationProceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages431-435
Number of pages5
ISBN (Electronic)9781467380546
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event5th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2014 - Busan, Korea, Republic of
Duration: 27 Oct 201430 Oct 2014

Other

Other5th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2014
CountryKorea, Republic of
CityBusan
Period27/10/1430/10/14

Keywords

  • camera
  • indoor positioning
  • neural network
  • optical camera communication
  • smart phone

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