中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2016, Vol. 35 ›› Issue (4): 112-115.DOI: 10.3969/j.issn.1674-0696.2016.04.22

• 交通运输工程 • 上一篇    下一篇

基于Android平台的室内停车场智能寻车系统研究

李华蓉1,潘国兵1,赵一2,吴华玲3   

  1. (1. 重庆交通大学 土木工程学院,重庆 400074;2. 重庆交通科研设计院,重庆 400067;3.东华理工大学 测绘工程学院,江西 南昌 330029)
  • 收稿日期:2015-03-04 修回日期:2015-04-17 出版日期:2016-08-20 发布日期:2016-08-20
  • 作者简介:第一作者:李华蓉(1980—),女, 湖北宜昌人, 讲师,博士, 主要从事地图学与地理信息系统方面的工作。E-mail:lihuarong.cat@yeah.net。
  • 基金资助:
    国家自然科学基金项目(41404026)

Research on an Intelligent Vehicle Tracking System in Indoor Parking Based on Android Platform

LI Huarong1 ,PAN Guobing1 ,ZHAO Yi2 ,WU Hualing3   

  1. (1.School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074,P.R.China;2. Communications Research & Design Institute Co., Ltd. China Merchants, Chongqing 400067,P.R.China;3. Faculty of Geomatics, East China Institute of Technology, Nanchang 330029 Jiangxi,P.R.China)
  • Received:2015-03-04 Revised:2015-04-17 Online:2016-08-20 Published:2016-08-20

摘要: 为了解决车主在大型室内停车场找车的难题,提出了一种室内停车场反向寻车系统技术方案。采用Android智能手机作为信息采集和处理终端,结合二维码扫描定位技术、惯性传感器的室内导航技术、ArcGIS地图服务和离线地图包技术,ArcGIS API for Android插件技术实现了车辆精确定位、反向查找、实时路径引导等功能。并设计实现了软件系统,在某大型室内停车场进行了实施验证,结果证明了技术方案的可行性。

关键词: 交通运输工程, 反向寻车, Android平台, ArcGIS, 二维码

Abstract: In order to find a solution to the headache problem that it is difficult for car owners to locate their cars in a large indoor parking building, an intelligent car tracking system was put forward. These performances of accurate positioning of car, reverse tracking and real-time path leading were achieved by use of the technology of Android intelligent cellphone as information collecting and processing terminal, in combination with technology of QR code scan for positioning , the indoor navigating technology of inertial sensor, ArcGIS map service and offline map package, and the technology of ArcGIS API for Android .Software was designed and put into practice was proved in the large indoor parking building. The results of testing proved the feasibility of the technological solution.

Key words: traffic and transportation engineering, vehicle tracking, Android platform, ArcGIS, QR code

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