Approaches to multisensor data fusion in target tracking: A survey

被引：240
|
作者：
Smith, Duncan [1 ]
Singh, Sameer
机构：
[1] Loughborough Univ Technol, Res Sch Informat, Loughborough LE11 3TU, Leics, England
[2] QinetiQ, Winfrith Technol Ctr, Dorchester DT2 8XJ, Dorset, England
[3] Loughborough Univ Technol, Res Sch Informat, Loughborough LE11 3TU, Leics, England
来源：
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 2006年 / 18卷 / 12期
关键词：
distributed sensors; tracking; information fusion; data fusion;
D O I：
10.1109/TKDE.2006.183
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The tracking of objects using distributed multiple sensors is an important field of work in the application areas of autonomous robotics, military applications, and mobile systems. In this survey, we review a number of computationally intelligent methods that are used for developing robust tracking schemes through sensor data fusion. The survey discusses the application of the various algorithms at different layers of the JDL model and highlights the weaknesses and strengths of the approaches in the context of different applications.
引用
收藏
页码：1696 / 1710
页数：15
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