摘要
利用多传感器的信息融合获得有关目标的知识，可以避免单一传感器的局限性限制，减少各传感器不确定性误差的影响．本文阐述了多传感器信息融合研究的三个主要领域，即信息表示、融合的模型结构和方法及融合中的控制，并以典型成果介绍了在这些领域研究中已取得的进展．最后，根据国外研究的发展趋势提出了我们的对策．
Owing to the limits of a single sensor and uncertainties of sensor data,information fusion of multi-sensor system is frequently used to acquire a representation of environment and objects. In this paper,three main research topics of multi-sensor information fusion ,i. e. representation of information, framework and means of fusion, and control off fusion, are discussed. Also, several typical results are introduced to describe the advances in those fields. Finally,our research strategies on multi-sensor information fusion are presented according to international research trends.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1994年第5期73-79,60,共8页
Acta Electronica Sinica
关键词
多传感器
信息融合
机器人
Robot
Multi-sensor
Information fusion
