Alessandro Luiz Stamatto Ferreira, S. R. D. Santos, Leonardo Cunha de Miranda
{"title":"TrueSight A Pedestrian Navigation System Based in Automatic Landmark Detection and Extraction on Android Smartphone","authors":"Alessandro Luiz Stamatto Ferreira, S. R. D. Santos, Leonardo Cunha de Miranda","doi":"10.1109/SVR.2012.14","DOIUrl":null,"url":null,"abstract":"From time to time someone gets lost and askhimself \"How do I get there?\" With the advent of the GPS this question can be answered. However due to difficulties such as lack of precision, possibility of inaccurate maps,network dependency, and cost lead the pursuit of analternative solution. In order to locate himself the person can use a different method: using a smartphone camera his position is recognized visually, based in environment references, and then an arrow pointing the right direction appears in a map in the display. This method was implemented in the application framework of Android,using OpenCV and its implementation of the SURFalgorithm. The final application is named TrueSight and westudy its viability and limitations. The authors conclude thata vision-based navigation system is viable, but database improvements and exhibition could make it better.","PeriodicalId":319713,"journal":{"name":"2012 14th Symposium on Virtual and Augmented Reality","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 14th Symposium on Virtual and Augmented Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SVR.2012.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
From time to time someone gets lost and askhimself "How do I get there?" With the advent of the GPS this question can be answered. However due to difficulties such as lack of precision, possibility of inaccurate maps,network dependency, and cost lead the pursuit of analternative solution. In order to locate himself the person can use a different method: using a smartphone camera his position is recognized visually, based in environment references, and then an arrow pointing the right direction appears in a map in the display. This method was implemented in the application framework of Android,using OpenCV and its implementation of the SURFalgorithm. The final application is named TrueSight and westudy its viability and limitations. The authors conclude thata vision-based navigation system is viable, but database improvements and exhibition could make it better.