DocumentCode
3482936
Title
Intelligent sensor fusion: a graphical model approach
Author
Moura, José M F ; Lu, Jin ; Kleiner, Marius
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
6
fYear
2003
fDate
6-10 April 2003
Abstract
We study the fusion of data collected by multiple heterogeneous sensors that work cooperatively to achieve a common goal. The paper presents fast algorithms to fuse the sensor data. We map the problem into a graphical model and then develop a fast message-passing scheme to fuse the data. We simulate scenarios with 150 sensors and 200 targets that are successfully fused.
Keywords
ad hoc networks; graph theory; message passing; sensor fusion; target tracking; wireless sensor networks; ad-hoc network; data fusion; graphical model; intelligent sensor fusion; message-passing scheme; multiple heterogeneous sensors; multiple target tracking; Acoustic sensors; Ad hoc networks; Computer network management; Fuses; Graphical models; Infrared sensors; Intelligent sensors; Sensor arrays; Sensor fusion; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1201786
Filename
1201786
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