期刊文献+

基于大数据分析的移动对象轨迹预测方法 被引量:4

Moving Object Trajectory Prediction Method Based on Large Data Analysis
下载PDF
导出
摘要 对移动对象的轨迹预测将在移动目标跟踪识别中具有较好的应用价值;移动对象轨迹预测的基础是移动目标运动参量的采集和估计,移动目标的运动参量信息特征规模较大,传统的单分量时间序列分析方法难以实现准确的参量估计和轨迹预测;提出一种基于大数据多传感信息融合跟踪的移动对象轨迹预测算法;首先进行移动目标对象进行轨迹跟踪的控制对象描述和约束参量分析,对轨迹预测的大规模运动参量信息进行信息融合和自正整定性控制,通过大数据分析方法实现对移动对象运动参量的准确估计和检测,由此指导移动对象轨迹的准确预测,提高预测精度;仿真结果表明,采用该算法进行移动对象的运动参量估计和轨迹预测的精度较高,自适应性能较强,稳健性较好,相关的指标性能优于传统方法。 The trajectory prediction of moving objects has good application value in the tracking and recognition of moving objects. Mov- ing object trajectory prediction is based on moving target motion parameters acquisition and estimation, moving target motion parameter in- formation of the feature scale larger, traditional single component time series analysis methods difficult to achieve accurate parameter estima- tion and trajectory prediction. A moving object trajectory prediction algorithm based on multi sensor information fusion and tracking is pro posed. Firstly moving object trajectory tracking control object description and constraint parameters analysis of trajectory prediction of mass movement parameter information of information fusion and self is a whole qualitative control, through data analysis method to move the ob- ject motion parameters accurate estimation and detection, thus to guide the accurate prediction of trajectories of moving objects and improve prediction accuracy. The simulation results show that the proposed algorithm is used to estimate the motion parameters of moving objects and the accuracy of trajectory prediction is higher, and the performance of the proposed method is stronger, and the robustness is better, and the related indexes are better than the traditional method.
出处 《计算机测量与控制》 2016年第10期198-201,共4页 Computer Measurement &Control
关键词 大数据分析 移动对象 轨迹预测 目标参量估计 信息融合 large data analysis moving object trajectory prediction target parameter estimation information fusion
  • 相关文献

参考文献12

二级参考文献106

  • 1董彦非,王礼沅,王卓健,张恒喜.基于空战模式和AHP法的空战效能评估模型[J].系统工程与电子技术,2006,28(6):885-888. 被引量:24
  • 2杨恩荣.超视距空战研究[M].北京:空军指挥学院,2000.
  • 3朱宝鎏 朱荣昌 熊笑非.作战飞机效能评估[M].北京:航空工业出版社,1993..
  • 4Li Yan, Liu Yao, Zhang Liang-jie, et al. An exploratory study of Web services on the Internet[C]// Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 07 ). Salt Lake City, UT, USA, 2007, Washington, DC, USA: IEEE Computer Society, 2007 : 380-387.
  • 5Charif-Diebbar Y,Sabouret N. Dynamic service composition and selection through an agent interaction protoeo[C]//Proceedings of the 2006 IEEE/WIC/ACM International Conference onWeb Intelligence and Intelligent Agent Technology Workshops (WI- IATW 06). Washington, DC, USA: IEEE Computer Soeiety, 2006:105-108.
  • 6Shao Ling-shuaag. Research on quality of Web services manage- ment technologies [D]. Beijing:Peking University,2009.
  • 7Felipe N M , Wangderley C C , Ricardo C , et al. An adaptive dynamic controller for autonomous mobile robot liajectory tracking[J]. Control Engineering Practice, 2008, 16( 11 ): 1354-1363.
  • 8Markus M r. Robust Iracking control of nonholonomic dynamic systems with application to the bi-steerable mobile robot[J]. Automatics, 2008, 44:(10):2588-2592.
  • 9Lee M C , Go S J, Lee M H, et al. A robust trajectory tracking control of a polishing robot system based on CAM data [J]. Robotics and Computer Integrated Manufacturing, 2001,17 (1-2) : 177-183.
  • 10Oya M, Su C Y, Katoh R. Robust adaptive motion/force tracking control of uncertain nonholonomie mechanical system[J].IEEE Transactions on Robotics and Automation,2003,19( 1 ): 175-181.

共引文献279

同被引文献32

引证文献4

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部