[1]王田,李洋,曾建电,等.云平台行车跟随系统的设计[J].华侨大学学报(自然科学版),2016,37(4):481-485.[doi:10.11830/ISSN.1000-5013.201604018]
　WANG Tian,LI Yang,ZENG Jiandian,et al.Design on Cloud-Based Vehicle Tracking System[J].Journal of Huaqiao University(Natural Science),2016,37(4):481-485.[doi:10.11830/ISSN.1000-5013.201604018]
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云平台行车跟随系统的设计()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第37卷
期数:
2016年第4期
页码:
481-485
栏目:
出版日期:
2016-07-04

文章信息/Info

Title:
Design on Cloud-Based Vehicle Tracking System
文章编号:
1000-5013(2016)04-0481-05
作者:
王田1;  李洋1;  曾建电1;  王文华1; 苏耕民1;  许迪文1;  赖永炫2
1. 华侨大学 计算机科学与技术学院, 福建 厦门 361021;2. 厦门大学 软件学院, 福建 厦门 361005
Author(s):
WANG Tian1;  LI Yang1;  ZENG Jiandian1;  WANG Wenhua1;  SU Gengmin1;  XU Diwen1;  LAI Yongxuan2
1. College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China; 2. College of Software, Xiamen University, Xiamen 361005, China
关键词:
行车跟随;  全球定位导航系统;  导向车;  跟随车;  跟随算法
Keywords:
vehicle tracking system;  global position system;  preceding car;  following car;  tracking algorithm
分类号:
TP393
DOI:
10.11830/ISSN.1000-5013.201604018
文献标志码:
A
摘要:
基于安卓手机系统,提出一种基于云平台的行车跟随方案.导向车客户端根据跟随算法判断自身行驶状态,在转弯时,发送转向信息至云服务器端,跟随车则下载该信息,并绘制出行车路径.实验结果表明:该行车跟随系统不仅精确性高,而且大大降低数据传输量,给用户带来极大的便利,是现有的全球定位导航系统(GPS)的有力补充.
Abstract:
Based on Android system, a driving following strategy is proposed on Cloud platform. The client of leading car judges the driving direction based on the designed following algorithm. When the leading car swerves, it would send the location information to a Cloud server. Then the client of following car downloads this information to draw the vehicle routing path. The experimental results show that this driving system has the advantages of high accuracy, low data transmission and convenience for users, which is good supplement for traditional GPS system.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2015-11-09
通信作者: 王田(1982-),男,副教授,博士,主要从事物联网技术、移动监控的研究.E-mail:wangtian@hqu.edu.cn.
基金项目: 国家科技支撑计划(2015BAH16F00/F01/F02); 国家自然科学基金资助项目(61572206, 61202468); 福建省自然科学基金计划资助项目(2014J01240); 华侨大学研究生科研创新能力培育计划资助项目(2014, 2015年度)
更新日期/Last Update: 2016-07-20