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dc.contributor.authorPaiva, Sara-
dc.contributor.authorAmaral, António-
dc.contributor.authorGonçalves, Joana-
dc.contributor.authorLima, Rui-
dc.contributor.authorBarreto, Luís-
dc.identifier.citationPaiva, S., Amaral, A., Gonçalves, J., Lima, R., & Barreto, L. (2022) Image recognition-based architecture to enhance inclusive mobility of visually impaired people in smart and urban environments. Sustainability, 14(18), 11567. hpps://
dc.description.abstractThe demographic growth that we have witnessed in recent years, which is expected to increase in the years to come, raises emerging challenges worldwide regarding urban mobility, both in transport and pedestrian movement. The sustainable development of cities is also intrinsically linked to urban planning and mobility strategies. The tasks of navigation and orientation in cities are something that we resort to today with great frequency, especially in unknown cities and places. Current navigation solutions refer to the precision aspect as a big challenge, especially between buildings in city centers. In this paper, we focus on the segment of visually impaired people and how they can obtain information about where they are when, for some reason, they have lost their orientation. Of course, the challenges are different and much more challenging in this situation and with this population segment. GPS, a technique widely used for navigation in outdoor environments, does not have the precision we need or the most beneficial type of content because the information that a visually impaired person needs when lost is not the name of the street or the coordinates but a reference point. Therefore, this paper includes the proposal of a conceptual architecture for outdoor positioning of visually impaired people using the Landmark Positioning approach.pt_PT
dc.relationNORTE-01-0145-FEDER- 000043pt_PT
dc.subjectVisually impaired peoplept_PT
dc.subjectUrban mobilitypt_PT
dc.subjectImage processingpt_PT
dc.subjectUrban positioningpt_PT
dc.subjectLandmark techniquespt_PT
dc.titleImage recognition-based architecture to enhance inclusive mobility of visually impaired people in smart and urban environmentspt_PT
dc.description.version5311-8814-F0ED | Sara Maria da Cruz Maia de Oliveira Paiva-
Appears in Collections:ESCE - Artigos indexados à WoS/Scopus
ESTG - Artigos indexados à WoS/Scopus

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