A Method for Evaluating Nearest-Neighbor Queries in Moving Object Environments

摘要：

Data uncertainty is often involved in moving object tracking applications due to reasons such as imprecise measurement or sampling errors. The nearest-neighbor queries in moving object environments are important in the applications of moving object tacking. A probabilistic method for evaluating nearest-neighbor queries for moving object tracking in moving object environments is proposed, based on the pruning and sorting of uncertain data. Simulation result shows that the proposed method outperforms other evaluating method we knew for moving objects in the times of evaluations of integrals needed and efficiency of evaluating.

关键词： moving object environments data uncertainty probability density function

作者: Huajie Xu Liansheng Tang Taozhi Si

作者单位: School of Electronics and Information Tongji University School of Computer and Information Shanghai ollege of Business Guangxi University for Nationalities Nanning, China School of Computer and Information Shanghai Second Polytechnic University Shanghai, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 591-593

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）