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Previous issue date: 2016-03-28 / There are more than 35.7 million people with visual impairments in Brazil, of these 6.5 million are totally blind or have great difficulty to see, even with lenses. The white cane and the guide dog are the most used resources to support the mobility of those individuals. However, the white cane offers little information and the guide dog is a resource difficult to
access. Considering this context, there are several studies related to navigation support in
urban environments for individuals with visual impairments, but there are still many gaps to
be researched. The main goal of this work is to present a model that, based on computer
vision techniques, can help people with visual impairments to walk on sidewalks. This model offers an integrated solution for location and identification of tactile paving, detection of aerial obstacles, detection of obstacles on the ground and location of crosswalks. The environment information is obtained in several ways, such as camera, ultrasonic sensor and satellite images, and the feedback to the user is sonorous. Experimental results are presented and demonstrate the viability of this approach. / No Brasil, h? mais de 35,7 milh?es de pessoas com defici?ncia visual, sendo que destas 6,5 milh?es s?o incapazes enxergar de modo algum ou possuem grande dificuldade mesmo com lentes. A bengala longa e o c?o guia s?o os meios mais utilizados para auxiliar a mobilidade destes indiv?duos. Por?m, a bengala longa oferece pouca informa??o e o c?o guia ? um recurso de dif?cil acesso. Considerando este contexto, existem v?rios estudos relacionados ao aux?lio a navega??o em ambientes urbanos para indiv?duos com defici?ncia visual, por?m ainda h? muitas lacunas para serem pesquisadas. O objetivo deste trabalho ? apresentar um modelo que, baseado em t?cnicas de vis?o computacional, possa auxiliar indiv?duos com defici?ncia visual a trafegar em cal?adas. Este modelo apresenta uma solu??o integrada para localiza??o e identifica??o de piso t?til, detec??o obst?culos a?reos, detec??o de obst?culos terrestres e localiza??o de faixas de pedestres. As informa??es do ambiente s?o obtidas atrav?s de v?rios meios, tais como c?mera, sensor de ultrassom e imagens de sat?lite, e o feedback ao usu?rio ? sonoro. Resultados experimentais s?o
apresentados e demonstram a viabilidade desta abordagem.
| Identifer | oai:union.ndltd.org:IBICT/oai:tede2.pucrs.br:tede/6942 |
| Date | 28 March 2016 |
| Creators | Ghilardi, Marcelo Cabral |
| Contributors | Manssour, Isabel Harb |
| Publisher | Pontif?cia Universidade Cat?lica do Rio Grande do Sul, Programa de P?s-Gradua??o em Ci?ncia da Computa??o, PUCRS, Brasil, Faculdade de Inform?tica |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Biblioteca Digital de Teses e Dissertações da PUC_RS, instname:Pontifícia Universidade Católica do Rio Grande do Sul, instacron:PUC_RS |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 1974996533081274470, 600, 600, 600, -3008542510401149144, 3671711205811204509 |
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