Estimating Uncertain Spatial Relationships
In this paper, we describe a representation for spatial information, called the stochastic map, and associated procedures for building it, reading information from it, and revising it incrementally as new information is obtained. The map contains the estimates of relationships among objects in the map, and their uncertainties, given all the available information. The procedures provide a general solution to the problem of estimating uncertain relative spatial relationships. The estimates are probabilistic in nature, an advance over the previous, very conservative, worst-case approaches to the problem. Finally, the procedures are developed in the context of state-estimation and filtering theory, which provides a solid basis for numerous extensions.
Estimation Spatial Relationships information Stochastic Map
HE Chao Wang Hai
Reconnacence staff room of nanjin artillery academy jiangshu china 211132 Tibet military sub-area 77608 troops 63 unit 850030
国际会议
北京
英文
2007-08-05(万方平台首次上网日期,不代表论文的发表时间)