基于RFID及IDR算法的缩微智能车室内精确定位方法研究与实现
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- 英文论文题名：Research and Implementation of Mini Intelligent Vehicle Indoor Accurate Location Method Based on RFID and Improved Dead Reckoning Algorithm
- 论文作者：周晶晶 ; 苏致远 ; 王任栋
- 英文论文作者：Zhou Jingjing ; Su Zhiyuan ; Wang Rendong ; Postgraduate Training Bridge ; Military Transportation University ; Transportation Service Department ; Bengbu Automobile NCO Academy
- 年：2016
- 作者机构：军事交通学院研究生管理大队;蚌埠汽车士官学校运输勤务系;
- 论文关键词：OpenGL ; 缩微智能车 ; 航迹推算算法 ; RFID ; 室内精确定位
- 英文论文关键词：OpenGL ; Dead Reckoning Algorithm ; Mini-Intelligent Vehicle ; RFID ; Indoor Accurate Location3
- 会议召开时间：2016-11-16
- 会议录名称：第十一届中国智能交通年会大会论文集
- 语种：中文
- 分类号：U463.6
- 学会代码：ZJTX
- 会议名称：第十一届中国智能交通年会
- 会议地点：中国重庆
- 主办单位：中国智能交通协会
- 学会名称：中国智能交通协会
- 页数：7
- 文件大小：4971k
- 原文格式：D
- 会议级别：全国
摘要
针对缩微智能车的室内精确定位问题,提出了一种基于RFID及航迹推算算法的缩微智能车室内精确定位方法。首先基于C#和Open GL环境建立缩微智能车模型和道路环境模型;而后在室内环境下,基于RFID及改进的航迹推算算法实现缩微智能车精确定位,并在三维环境中实时定位及显示。实验结果证明了该方法的有效性。
Aiming at the problem of indoor positioning and mini intelligent vehicle,put forward an indoor positioning method based on RFID and improved dead reckoning algorithm of mini intelligent vehicle.First,mini intelligent vehicle model and road environment model is built based on the C# and Open GL;then in the indoor environment,precise positioning of mini intelligent vehicle is achieved based on RFID and improved dead reckoning algorithm,which positioning and displaying in the 3D environment in real time.The effectiveness of the proposed method is verified by experimental results.
Aiming at the problem of indoor positioning and mini intelligent vehicle,put forward an indoor positioning method based on RFID and improved dead reckoning algorithm of mini intelligent vehicle.First,mini intelligent vehicle model and road environment model is built based on the C# and Open GL;then in the indoor environment,precise positioning of mini intelligent vehicle is achieved based on RFID and improved dead reckoning algorithm,which positioning and displaying in the 3D environment in real time.The effectiveness of the proposed method is verified by experimental results.
引文
[1]高云峰,周伦,吕明睿,等.自主移动机器人室内定位方法研究综述[J].传感器与微系统,2013,32(2):1-5.
[2]王任栋.基于电子地图的智能车全局导航研究[D].军事交通学院学报,2015.
[3]Borenstein J,Feng L.Measurement and correction of systematic odometry errors in mobile robots[J].IEEE Transactions on Robotics and Automation,1996,12(6):869-880.
[4]张利,潘承毅,刘征宇.差动驱动机器人的一种航迹推算定位方法[J].合肥工业大学学报(自然科学版),2010,33(11):1066-1068.
[2]王任栋.基于电子地图的智能车全局导航研究[D].军事交通学院学报,2015.
[3]Borenstein J,Feng L.Measurement and correction of systematic odometry errors in mobile robots[J].IEEE Transactions on Robotics and Automation,1996,12(6):869-880.
[4]张利,潘承毅,刘征宇.差动驱动机器人的一种航迹推算定位方法[J].合肥工业大学学报(自然科学版),2010,33(11):1066-1068.