@InProceedings{GhilardiMans:2016:SuMoNa,
               author = "Ghilardi, Marcelo Cabral and Manssour, Isabel Harb",
          affiliation = "PUCRS, Faculdade de Inform{\'a}tica, PPGCC and PUCRS, Faculdade 
                         de Inform{\'a}tica, PPGCC",
                title = "Support model for navigation on sidewalks for visually impaired 
                         persons",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Computer Vision, Image Processing, Accessibility, Obstacle 
                         Detection, Visually Impaired, Tactile Paving.",
             abstract = "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.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M9HE2L",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M9HE2L",
           targetfile = "WTD-SIBGRAPI16-Versao-2.pdf",
        urlaccessdate = "2024, Apr. 28"
}