System of Multi-sensor and Multi-target Tracking and Track Fusion

doi:10.3969/j.issn.1006-2475.2014.10.003

Abstract

Abstract: Multi-sensor data fusion nowadays is widespreadly concerned because of the improving tracking accuracy, the ability to identify and the strengthen immunity system through complementary information. This paper mainly described various algorithms including target tracking, track association and track fusion based on radar and infrared data fusion architecture. The simulation results show that the effect of the fusion of radar and infrared tracking is better than that of single sensor tracking.
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Key words: tracking, track association, track fusion

CLC Number:

TP274

FU Lin, WAN Xiao-dong, WANG Bao-zeng. System of Multi-sensor and Multi-target Tracking and Track Fusion[J]. Computer and Modernization, 2014, 0(10): 8-11.

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