期刊文献+

时空轨迹应用分类及其智能处理方法分析

Classification of Spatio-temporal Trajectory Applications and Analysis of the Required Intelligent Processing Methods
下载PDF
导出
摘要 时空轨迹是目标对象行为活动的直接表现,为了深入探究时空轨迹的应用情况与关键技术,首先按照目标类型属性、轨迹获取方式、轨迹行为特征等方面对时空轨迹应用分类进行了全面的分析和梳理,其次从精确定位、聚类检测、拼接融合、分离识别、跟踪预测等技术层面提出了轨迹智能处理相关理论和方法,为推动时空轨迹处理技术与产业应用发展提供了方向。 The spatio-temporal trajectory is a direct presentation of the behavioral activities of the target object.In order to explore the application situation and key technologies of spatio-temporal trajectory in depth,firstly,the classification of spatio-temporal trajectory application is comprehensively analyzed and sorted out according to the target properties,trajectory acquisition methods,trajectory behavior features and so on.Then,the relevant theories and methods of trajectory intelligent processing are proposed in terms of precise positioning,clustering detection,splicing fusion,separation identification,tracking prediction,etc.,which provide a direction for promoting the spatio-temporal trajectory recognition technology and industrial application development.
作者 李振 孙建星 王少阳 马基栋 LI Zhen;SUN Jianxing;WANG Shaoyang;MA Jidong(Naval Equipment Department,Chengdu Sichuan 610041,China;No.30 Institute of CETC,Chengdu Sichuan 610041,China;Unit 95793 of PLA,Guiyang Guizhou 550025,China)
出处 《通信技术》 2023年第1期28-32,共5页 Communications Technology
关键词 轨迹分离 人工智能 行为识别 目标定位 目标跟踪 trajectory separation artificial intelligence behavior recognition target positioning target tracking
  • 相关文献

参考文献5

二级参考文献95

  • 1郑宇,谢幸.基于用户轨迹挖掘的智能位置服务[J].中国计算机学会通讯,2010,6(6):23-30.
  • 2Zheng Y, Capra L, Wolfson O, et al. Urban Com- puting: Concepts, Methodologies, and Applications [J]. ACM Transactionson Intelligent Systems and Technology, 2014,3 (5), DOI: 10. 1145/1290002. 129O0O3.
  • 3Zheng Y, Liu Y, Yuan J, et al. Urban Computing with Taxicabs[C]. UbiComp,Beijing, 2011.
  • 4Yuan J, Zheng Y, Xie X. Discovering Regions of Different Functions in a City Using Human Mobility and POIs[C]. KDD, Beijing,2012.
  • 5Wang Y, Zheng Y, Xue Y. Travel Time Estimation of a Path Using Sparse Trajectories[C]. KDD, New York, 2014.
  • 6Yuan J, Zheng Y, Zhang C, et al. T-Drive: Driving Directions Based on Taxi Trajectories[C]. SIGSPA- TIAL GIS,San Jose, California, 2010.
  • 7Yuan J, Zheng Y, Xie X, et al. Driving with Knowledge from the Physical World[C]. KDD,San Diego, California, 2011.
  • 8Yuan J, Zheng Y, Xie X, et al. T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence[J].IEEE Transactions on Knowledge and Data Engineering, 2013,25 ( 1 ) : 220 -232.
  • 9Yuan J, Zheng Y, Zhang I., et al. Where to Find My Next Passenger? [C]. UbiComp,Beijing ,2011.
  • 10Yuan J, Zheng Y, Zhang L, et al. T-Finder: A Recommender System for Finding Passengers and Vacant Taxis[J]. IEEE Transactions on Knowl- edge and Data Engineering , 2013, 25 ( lO ) : 2 390- 2 403.

共引文献129

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