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Obstacle Detection using Stereo Imaging to Assist the Navigation of Visually Impaired People

dc.contributor.authorCosta, Paulo
dc.contributor.authorFernandes, Hugo
dc.contributor.authorMartins, Paulo
dc.contributor.authorBarroso, João
dc.contributor.authorHadjileontiadis, Leontios J.
dc.date.accessioned2025-11-03T14:46:11Z
dc.date.available2025-11-03T14:46:11Z
dc.date.issued2012
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 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.eng
dc.description.sponsorshipThis research was supported by the Portuguese Foundation for Science and Technology (FCT), through the pluri-annual funding of the Institute for Systems and Robotics (ISR/IST) by the POS_Conhecimento Program which includes FEDER funds, and by the FCT projects PTDC/EIA/73633/2006. ''SmartVision: active vision for the blind'' and RIPD/ADA/109690/2009 - ''Blavigator: a cheap and reliable navigation aid for the blind''.
dc.identifier.citationCosta, P., Fernandes, H., Martins, P., Barroso, J., & Hadjileontiadis, L. J. (2012). Obstacle detection using stereo imaging to assist the navigation of visually impaired people. Procedia Computer Science, 14, 83-93.
dc.identifier.doi10.1016/j.procs.2012.10.010
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/10400.8/14467
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1877050912007727?via%3Dihub
dc.relation.ispartofProcedia Computer Science
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAssistive technologies
dc.subjectEmpirical mode decomposition
dc.subjectObstacle detection
dc.subjectStereo vision
dc.titleObstacle Detection using Stereo Imaging to Assist the Navigation of Visually Impaired Peopleeng
dc.typeconference proceedings
dspace.entity.typePublication
oaire.citation.endPage93
oaire.citation.startPage83
oaire.citation.titleProcedia Computer Science
oaire.citation.volume14
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCosta
person.givenNamePaulo
person.identifier.orcid0000-0001-5952-2709
relation.isAuthorOfPublication01277b2b-f9a2-4e19-8d18-ef065adb30f0
relation.isAuthorOfPublication.latestForDiscovery01277b2b-f9a2-4e19-8d18-ef065adb30f0

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