%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/08.16.00.57
%2 sid.inpe.br/sibgrapi/2016/08.16.00.57.44
%T Support model for navigation on sidewalks for visually impaired persons
%D 2016
%A Ghilardi, Marcelo Cabral,
%A Manssour, Isabel Harb,
%@affiliation PUCRS, Faculdade de Informática, PPGCC
%@affiliation PUCRS, Faculdade de Informática, PPGCC
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K Computer Vision, Image Processing, Accessibility, Obstacle Detection, Visually Impaired, Tactile Paving.
%X There are more than 35.7 million people with visual impairment in Brazil, of whom 6.5 million are totally blind or have great difficulty to see, even with the use of lenses. Although there are studies related to navigation support in urban environments for individuals with visual impairment, there have still been gaps to be researched. The main goal of this work is to present a model that, based on computer vision techniques, can aid these people to walk on sidewalks. This model offers an integrated solution for localization and identification of tactile paving surfaces, detection of aerial and ground obstacles, and localization of crosswalks. Experimental results are presented and demonstrate the viability of this approach.
%@language en
%3 WTD-SIBGRAPI16-Versao-2.pdf