Indoor Navigation using Text Extraction

Jake Eden, Thomas Kawchak, Vijaykrishnan Narayanan

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

1 Scopus citations


In this paper, we explore the possibility of harnessing text extraction to perform localization for a visually impaired grocery shopper to help the shopper navigate through a grocery store. The extraction of environmental text is performed only after more traditional guidance techniques are employed to first bring the user to the text-rich aisles of a grocery store. This idea is built upon the need for both text extraction and localization in a visual assistance pipeline. For instance, typical visual assistance pipelines attempt to solve a number of problems: indoor localization and navigation, classification of an aisle's products, and potentially contextual information retrieval based on local environmental text (to, say, determine a product's price). However, prior art does not consider how text might also augment localization. Thus, this paper explores the viability of introducing text into such a seemingly disjoint problem space and ultimately concludes that environmental text extraction can enhance indoor localization by providing course-grained accuracy.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Workshop on Signal Processing Systems, SiPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538663189
StatePublished - Dec 31 2018
Event2018 IEEE Workshop on Signal Processing Systems, SiPS 2018 - Cape Town, South Africa
Duration: Oct 21 2018Oct 24 2018

Publication series

NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN (Print)1520-6130


Conference2018 IEEE Workshop on Signal Processing Systems, SiPS 2018
Country/TerritorySouth Africa
CityCape Town

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics
  • Hardware and Architecture


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