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- W2890212622 abstract "To solve the problem of track fusion in distributed multi-sensor multi-target tracking system, we herein propose an adaptive multi-sensor ground track fusion method based on fuzzy Computation. Track correlation is an important prerequisite for track fusion and traditional track association has low accuracy rate in dense target environments. Therefore, this paper proposes a track association algorithm based on fuzzy similarity and improves the accuracy rate of track association effectively. Then we use the adaptive track fusion algorithm to fuse the associated track. The simulation results show that the accuracy of the proposed method is obviously better than the traditional method in the case of dense targets and track crossings, and it can effectively improve the accuracy of the track fusion." @default.
- W2890212622 created "2018-09-27" @default.
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- W2890212622 date "2018-08-01" @default.
- W2890212622 modified "2023-09-27" @default.
- W2890212622 title "An Adaptive Track Fusion Approach with Fuzzy Computation for Multi-sensor" @default.
- W2890212622 doi "https://doi.org/10.1109/smartiot.2018.00051" @default.
- W2890212622 hasPublicationYear "2018" @default.
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