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西北工业大学 国内
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中文
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研究单位
科研成果
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李 天成
Professor
自动化学院
h-index
3308
引用
29
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2010
2025
每年的科研成果
综述
指纹
网络
科研成果
(111)
相似简介
(6)
指纹
深入其中 Tiancheng Li 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Engineering
Cardinality
7%
Closed Form
8%
Computational Efficiency
18%
Continuous Time
15%
Cutting Edge
23%
Deep Learning Method
13%
Detection Probability
8%
Distributed Sensor
29%
Equality Constraint
10%
Experimental Result
9%
Extended Kalman Filter
8%
False Alarm
7%
Filtering Algorithm
14%
Finite Set
23%
Function of Time
39%
Gaussian Mixture
27%
Gaussians
54%
Illustrates
18%
Information Gain
13%
Joints (Structural Components)
26%
Kalman Filter
30%
Least Square
15%
Localization Problem
9%
Long Short-Term Memory
13%
Measurement Noise
29%
Misdetection
29%
Mobile Robot
29%
Motion Model
17%
Moving Target
9%
Multi--Target Tracking
35%
Multi-target Detection
13%
Multiple Target
32%
Nearest Neighbor
13%
Non-Gaussian Noise
8%
Particle Filter
52%
Recursive
19%
Recursive Estimation
8%
Road
8%
Robot
14%
Sensor Data
23%
Sensor Measurement
13%
Sensor Network
20%
Set Filter
9%
Simulation Result
41%
State Estimation
36%
Statistical Property
9%
Target State
10%
Target Tracking
100%
Tracking (Position)
93%
Using Sensor
13%
Computer Science
Approximation (Algorithm)
18%
Bernoulli Filter
32%
Cardinality
20%
Case Study
8%
Communication Cost
9%
Data Association
6%
Deep Learning Method
13%
Deterministic Trajectory
6%
Distributed Computing
6%
Distributed Sensor Network
13%
Driven Approach
9%
Enterprise Resource Planning
6%
Evaluation Metric
13%
Fault Tolerant
6%
Final Estimate
10%
Formation Control
6%
Gaussian Component
34%
Gaussian Mixture
59%
Gaussian Mixture Model
6%
Global Constraint
6%
Kalman Filter
28%
Learning State
13%
Leibler Divergence
11%
localization algorithm
13%
Localization Problem
8%
Long Short-Term Memory Network
13%
maneuvering target
17%
Measurement Noise
12%
Mobile Robot
8%
Motion Model
15%
multi sensor
21%
Multiple Agents
6%
Multiple Sensor
9%
Observation Set
13%
Optimization Strategy
6%
Particle Filter
19%
Positioning Method
10%
probability hypothesis density
32%
probability hypothesis density filter
52%
Process State
6%
Sensor Measurement
8%
Sensor Network
13%
Special Attention
6%
Splitting Technique
6%
State Estimation
15%
State Space
13%
Target Distribution
6%
Target Information
7%
Time Difference
13%
Tracking (Position)
74%
