Title :
Survey of Multi-Sensor Information Fusion Filtering and Control
Author :
Zhang Duanjin ; Liu Na ; Yang Lin
Author_Institution :
Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China
Abstract :
Multi-sensor information fusion (MSIF) is an emerging technology, which has received great attention. A recent achievement about the MSIF-based filtering and control is summarized, which includes the MSIF filter and MSIF control. The filtering algorithm, the linear and nonlinear fusion control, and economic system control are extensively reviewed. Some typical application results of MSIF are given, and open issues on multi-sensor information fusion filtering and control are also pointed out.
Keywords :
sensor fusion; economic system control; information fusion control; information fusion filtering; linear fusion control; multisensor information fusion; nonlinear fusion control; Computational modeling; Conferences; Kalman filters; Particle filters; Presses;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5661394