Advanced vehicle monitoring system based on arcgis silverlight
文献类型：会议论文
| 作者 | Shang WL(尚文利) ; He, Chao; Zhou XF(周晓锋); Han ZH(韩忠华); Peng H(彭慧); Shi HB(史海波)
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| 出版日期 | 2012 |
| 会议名称 | 2012 International Conference on Modelling, Identification and Control, ICMIC 2012 |
| 会议日期 | June 24-26, 2012 |
| 会议地点 | Wuhan, China |
| 关键词 | Application programming interfaces (API) Automotive industry Identification (control systems) Intelligent vehicle highway systems |
| 页码 | 832-836 |
| 中文摘要 | Intelligent Vehicle Services System is currently a hot research issue of Internet of Things (IOT) application in automotive industry, and real-time monitoring of vehicles is one of the core and key modules. This paper discusses ArcGIS API for Silverlight and its application on Vehicle Monitor System, and introduces design principles and framework of Vehicle Monitoring System, as well as map matching and history track algorithm. A vehicle monitoring system is realized by using Arcgis API,.NET Framework, Visual Studio and Silverlight Tools. At last, design principle of main functions as split-screen monitor, vehicle location, map mark, electronic fence and historical track realized in Vehicle Monitoring System are introduced. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议主办者 | IEEE Shanghai Section; International Journal of Modelling, Identification and Control; International Journal of Computer Applications and Technology; Huazhong University of Science and Technology; Wuhan University of Science and Technology |
| 会议录 | Proceedings of 2012 International Conference on Modelling, Identification and Control, ICMIC 2012
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| 会议录出版者 | IEEE Computer Society |
| 会议录出版地 | Washington, DC, United States |
| 语种 | 英语 |
| ISBN号 | 978-0-9567157-1-5 |
| 源URL | [http://ir.sia.cn/handle/173321/10115]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Shang WL,He, Chao,Zhou XF,et al. Advanced vehicle monitoring system based on arcgis silverlight[C]. 见:2012 International Conference on Modelling, Identification and Control, ICMIC 2012. Wuhan, China. June 24-26, 2012. |
入库方式： OAI收割
来源：沈阳自动化研究所
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