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西北工业大学 国内
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An Interactive Multiple Model Based Deep Learning State Fusion Approach to Target Tracking
Yicheng Yang,
Tiancheng Li
, Jingyuan Wang, Hao Li
自动化学院
Northwestern Polytechnical University Xian
Xi′an Institute of Space Radio Technology
科研成果
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探究 'An Interactive Multiple Model Based Deep Learning State Fusion Approach to Target Tracking' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Deep Learning Method
100%
Tracking (Position)
100%
Long Short-Term Memory Network
100%
Learning State
100%
Motion Model
66%
Rapid Development
33%
Weighted Average
33%
Tracking Algorithm
33%
Lstm
33%
maneuvering target
33%
Learning Technology
33%
Target Information
33%
Final Estimate
33%
Engineering
Tracking (Position)
100%
Target Tracking
100%
Deep Learning Method
100%
Long Short-Term Memory
100%
Motion Model
66%
Simulation Result
33%
Tracking Algorithm
33%
Lstm
33%
Target Information
33%