Invention Grant
US08705797B2 Enhanced data association of fusion using weighted Bayesian filtering 有权
使用加权贝叶斯滤波增强融合数据关联

Enhanced data association of fusion using weighted Bayesian filtering
Abstract:
A method of associating targets from at least two object detection systems. An initial prior correspondence matrix is generated based on prior target data from a first object detection system and a second object detection system. Targets are identified in a first field-of-view of the first object detection system based on a current time step. Targets are identified in a second field-of-view of the second object detection system based on the current time step. The prior correspondence matrix is adjusted based on respective targets entering and leaving the respective fields-of-view. A posterior correspondence matrix is generated as a function of the adjusted prior correspondence matrix. A correspondence is identified in the posterior correspondence matrix between a respective target of the first object detection system and a respective target of the second object detection system.
Information query
Patent Agency Ranking
0/0