名仕亚洲
网

Imaging Sensor and Radar Data Fusion for Target Tracking

硕士博士毕业论文站内搜索    
分类1:名仕亚洲 网→工业技术论文→自动化技术、计算机技术论文计算技术、计算机技术论文计算机的应用论文信息处理(信息加工)论文模式识别与装置论文
分类2:名仕亚洲 网→工业技术论文→自动化技术、计算机技术论文自动化技术及设备论文自动化元件、部件论文发送器(变换器)、传感器论文
Imaging Sensor and Radar Data Fusion for Target Tracking
论文目录
 
摘要第1-9页
ABSTRACT第9-13页
CHAPTER I. INTRODUCTION第13-19页
  1.1 Significance of the research第13-14页
  1.2 Research Status of Target Tracking第14-17页
  1.3 Main research contents and structure of the paper第17-19页
CHAPTER 2. SENSOR DATA FUSION SYSTEM, RADAR SYSTEM, AND IMAGE SENSOR SYSTEM OVERVIEW第19-29页
  2.1 Introduction第19页
  2.2 Sensor Data Fusion第19-22页
    2.2.1 Sensor Fusion Calculations第19-20页
    2.2.2 Sensor Data Fusion Applications第20页
    2.2.3 Sensor Data and Information Fusion Model第20-22页
  2.3 Radar Sensor第22-26页
    2.3.1 Radar Block Diagram第23-24页
    2.3.2 Information Available From the Radar Echo第24-25页
    2.3.3 Applications of Radar第25-26页
  2.4 Image Sensor Overview第26-27页
    2.4.1 Infrared Radiation Theory第26页
    2.4.2 Types of Infrared Sensors第26-27页
    2.4.3 Infrared Sensor Working Principle第27页
  2.5 The Key Applications of Infrared sensor Technology第27-28页
  2.6 Conclusion第28-29页
CHAPTER 3. TARGET TRACKING AND SENSOR DATA FUSION TECHNIQUES第29-39页
  3.1 Introduction第29页
  3.2 Advantages of a Multisensor Data Fusion For Target第29页
  3.3 Multisensor Fusion Processing Architectures第29-30页
  3.4 State and Object Evaluation第30-33页
    3.4.1 Van-Keuk’s Evaluation Model第30-31页
    3.4.2 Interacting Multiple Model第31-33页
  3.5 State Estimation Methods第33-35页
    3.5.1 The Kalman Filter第33-35页
    3.5.2 Particle Filter第35页
  3.6 Multisensor Tracking System based on IMMEKF Model第35-37页
  3.7 Comparison of Measurement Fusion Methods for Kalman -Filter-Based Multisensor Data Fusion for Target Tracking第37-38页
  3.8 Conclusion第38-39页
CHAPTER 4: RESULTS ANALYSIS AND DISCUSSION第39-52页
  4.0 Introduction第39页
  4.1 Significance of using radar measurement and Infrared measurement第39-40页
  4.2 IMMEKF Algorithm第40-41页
  4.3 Target Motion & Sensor Models第41-43页
    4.3.1 Sensor Model第41-42页
    4.3.2 Measurement Model第42-43页
  4.4 Measurement Vector第43-44页
    4.4.1 Measurement Fusion (MF)第43页
    4.4.2 Selective Measurements (SM)第43页
    4.4.3 Radar Measurements第43-44页
  4.5 Performance Evaluation Metrics第44页
  4.6 Numerical Simulation Results第44-51页
  4.7 Conclusion第51-52页
CHAPTER 5. SUMMARY第52-54页
References第54-59页
ACKNOWLEDGEMENTS第59页

本篇论文共59页,点击这进入下载页面
 
更多相关论文
Imaging Sensor and Radar Data Fu
Wireless Media Sensor Networks E
Lex Causae in "International Tra
A Study of Dialect Translation i
Perceptions of China in Australi
Slovenia and Croatia in the Chin
On Production of Space in the Wh
Between Nation and Nationality:
Anti-Chinese ‘Pure Blood Phenom
Rydberg Blockade,Van Der Waals I
A Spectral Characterization of t
NO Reduction by Pyrolysis Tar of
The Capacity Evaluation on Singl
Integration of Seasonal ARIMA in
Do Exchange Rate Changes Drive F
A Study of Japanese Kokuji-empha
Identifying Key Risks in Chinese
The Relationship between Environ
Influences of Cutting Fluid Cond
Research on Reinforcement of Hig
Comparison of Tencents Mobile MO
A Contrastive Study of Path Expr
A Contrastive Analysis of Visual
English Majors Processing Model
Analysis of the Association betw
栏 目 导 航
 
 
目标跟踪 传感器数据融合 测量模型 雷达 成像传感器 估计
版权申明:目录由用户tiger**提供,www.newhua.net仅收录目录,作者需要删除这篇论文目录请点击这里
| 设为首页||加入收藏||站内搜索引擎||站点地图||在线购卡|
版权所有 名仕亚洲 网 Copyright(C) All Rights Reserved