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Tour navigation: a cloud based Tourist Navigation System

机译:旅游导航:基于云的旅游导航系统

摘要

Google and Apple have provided precise navigation and locating service in outdoor environment. Tourists in New Zealand are able to identify their current location on a map and use navigation services provided by smartphones with Global Positioning Systems (GPS). However Google Map and IOS Map cannot provide navigation and locating service in indoor environments as the GPS signal is blocked within building interior. This thesis proposes a system to provide convenient and efficient tour navigation service to smartphone users no matter they are indoors or outdoors. In order to provide this service, this thesis implements back-end server on the Cloud Computing platform Google App Engine to calculate the navigation path for mobile users when indoors. Elastic cloud computing platform makes the system efficient at handling considerable number of requests while maintenance costs of the system are affordable. In addition, the mobile application Tour Navigation is developed as the interface between users and cloud service. By the clever use of QR codes with Tour Navigation, users are able to know their current location and query the shortest path to destination by sending requests to the cloud server. This thesis presents the NZ Tour Navigation System which is an affordable and easily-implemented technical solution for indoor navigation. What is more, it proves that the cloud computing platform is able to be the robust server for mobile applications, capable of handling complicated computing tasks.
机译:Google和Apple在室外环境中提供了精确的导航和定位服务。新西兰的游客可以在地图上标识他们的当前位置,并使用带有全球定位系统(GPS)的智能手机提供的导航服务。但是,由于GPS信号在建筑物内部被阻挡,因此Google Map和IOS Map无法在室内环境中提供导航和定位服务。本文提出了一种无论智能手机用户在室内还是室外都可为其提供便捷,高效的旅游导航服务的系统。为了提供该服务,本文在云计算平台Google App Engine上实现了后端服务器,以计算室内移动用户的导航路径。弹性云计算平台使系统可以高效地处理大量请求,而系统的维护成本却可以承受。此外,移动应用程序Tour Navigation被开发为用户和云服务之间的接口。通过在旅游导航中巧妙地使用QR码,用户可以通过向云服务器发送请求来知道其当前位置并查询到目的地的最短路径。本文介绍了NZ Tour导航系统,它是一种经济实惠且易于实现的室内导航技术解决方案。而且,它证明了云计算平台能够成为移动应用程序的强大服务器,能够处理复杂的计算任务。

著录项

  • 作者

    Li Junhao;

  • 作者单位
  • 年度 2014
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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