Improved Temporal-Spatial Fusion Based on D-S Evidence Theory
Bicheng Li · Shuju caiji yu chuli · 2005
Based on temporal-spatial information fusion of Dempster-Shafter (D-S) theory, i.e. multi-sensors with different measurement periods, this paper developes three fusion approaches including the centralized fusion approach, distributed-without-feedback and distributed-with-feedback algorithms. In the traditional methods, the final probability assignment is excessively convergent. Furthermore, when evidences conflicting, there is a contrary result. In order to solve the problems, this paper presents an efficient combination rule. Depended on this rule, the improved temporal-spatial information fusion methods are provided. In these methods, the conflicting probability of evidences is distributed to every proposition according to its average supported degree, thus improving the reliability and rationality of the result.