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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1201786
