{"title":"Augmented transit maps","authors":"Matei Stroila, J. Mays, Bill Gale, Jeff Bach","doi":"10.1109/WACV.2011.5711543","DOIUrl":null,"url":null,"abstract":"We introduce a new class of mobile augmented reality navigation applications that allow people to interact with transit maps in public transit stations and vehicles. Our system consists of a database of coded transit maps, a vision engine for recognizing and tracking planar objects, and a graphics engine to overlay relevant real-time navigation information, such as the user's current location and the time to destination. We demonstrate this system with a prototype application built from open source components only. The application runs on a Nokia N900 mobile phone equipped with Maemo, a Debian Linux-based operating system. We use the OpenCV library and the new Frankencamera API for the vision engine. The application is written using the LGPL licensed Qt C++ Framework.","PeriodicalId":424724,"journal":{"name":"2011 IEEE Workshop on Applications of Computer Vision (WACV)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Workshop on Applications of Computer Vision (WACV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WACV.2011.5711543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
We introduce a new class of mobile augmented reality navigation applications that allow people to interact with transit maps in public transit stations and vehicles. Our system consists of a database of coded transit maps, a vision engine for recognizing and tracking planar objects, and a graphics engine to overlay relevant real-time navigation information, such as the user's current location and the time to destination. We demonstrate this system with a prototype application built from open source components only. The application runs on a Nokia N900 mobile phone equipped with Maemo, a Debian Linux-based operating system. We use the OpenCV library and the new Frankencamera API for the vision engine. The application is written using the LGPL licensed Qt C++ Framework.