A Design and Experimental Method of Perception Fusion

this paper proposes one feature-level target fusion method solving the problem of perception processing based on multi-source heterogeneity of target information. By mining the correlation between target data, basic data, meteorological data and hydrological data, the multi-source heterogeneous data could be effectively used. According to the results of testing in complex scenes, the proposed method could solve the difficult problem of occlusion interleaving and recognition redundancy which is involved by traditional single-source homogeneity perception. The proposed method could identify targets more accurately and have a good fusion effect.