Obstacle detection using stereo imaging to assist the navigation of visually impaired people

Paulo Costa, Hugo Fernandes, Paulo Martins, João Barroso, Leontios J. Hadjileontiadis

Research output: Contribution to journalConference articlepeer-review

44 Scopus citations

Abstract

Assistive technology enables people to achieve independence when performing daily tasks and it enhances their overall quality of life. Visual information is the basis for most navigational tasks, so visually impaired individuals are at disadvantage due to the lack of sufficient information about their surrounding environment. With recent advances in inclusive technology it is possible to extend the support given to people with visual disabilities in terms of their mobility. In this context we propose and describe the Blavigator project, whose global objective is to assist visually impaired people in their navigation on indoor and outdoor environments. This paper is focused mainly on the Computer Vision module of the Blavigator prototype. We propose an object collision detection algorithm based on disparity images. The proposed algorithm uses a 2D Ensemble Empirical Mode Decomposition image optimization algorithm and a two layer disparity image segmentation to detect nearby objects.

Original languageBritish English
Pages (from-to)83-93
Number of pages11
JournalProcedia Computer Science
Volume14
DOIs
StatePublished - 2012
Event4th International Conference on Software Development for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2012 - Douro Region, Portugal
Duration: 19 Jul 201222 Jul 2012

Keywords

  • Assistive technologies
  • Empirical mode decomposition
  • Obstacle detection
  • Stereo vision

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