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Obstacle detection and avoidance module for the blind

2016-07Conference paper Restricted access
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dc.contributor.authorCosta, Paulo
dc.contributor.authorFernandes, Hugo
dc.contributor.authorBarroso, João
dc.contributor.authorParedes, Hugo
dc.contributor.authorHadjileontiadis, Leontios J.
dc.contributor.editorCosta
dc.date.accessioned2025-05-22T13:44:07Z
dc.date.available2025-05-22T13:44:07Z
dc.date.issued2016-07
dc.description.abstractAssistive 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 present and describe a wearable system (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 stereo vision. The proposed algorithm uses Peano-Hilbert Ensemble Empirical Mode Decomposition (PH-EEMD) for disparity image processing and a two layer disparity image segmentation to detect nearby objects. Using the adaptive ensemble empirical mode decomposition (EEMD) image analysis real time is not achieved, with PH-EEMD results on a fast implementation suitable for real time applications.eng
dc.description.sponsorshipThis work is financed by the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) through projects RIPD/ADA/109690/2009 and UTAP-EXPL/EEI-SII/0043/2014, and through research grant SFRH/BD/89759/2012.
dc.identifier.doi10.1109/wac.2016.7582990
dc.identifier.urihttp://hdl.handle.net/10400.8/12961
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherIEEE
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/7582990
dc.relation.ispartof2016 World Automation Congress (WAC)
dc.rights.uriN/A
dc.subjectAssistive technologies
dc.subjectObstacle detection
dc.subjectStereo vision
dc.subjectEmpirical Mode Decomposition
dc.subjectPeano Hilbert curves
dc.titleObstacle detection and avoidance module for the blind
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2016
oaire.citation.conferencePlaceRio Grande, PR, USA
oaire.citation.title2016 World Automation Congress (WAC)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSantos-Costa
person.givenNamePaulo
person.identifier809075
person.identifier.ciencia-idC915-2D9E-3AB7
person.identifier.orcid0000-0003-0761-6548
person.identifier.ridS-1406-2018
person.identifier.scopus-author-id57208199326
person.identifier.scopus-author-id57558369300
relation.isAuthorOfPublication5f6692af-26ff-42e1-a799-65cd0f355716

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