Title :
Data fusion system engineering
Author :
Steinberg, Alan N.
Author_Institution :
VERIDIAN ERIM Int., Chantilly, VA, USA
Abstract :
The paper reports on methods for the cost-effective development and integration of multi-sensor fusion technology. The methods presented extend the Project Correlation Data Fusion Engineering Guidelines with significant evolution. The key new insight is in formulating the system engineering process as a resource management problem; allowing the application of the Bowman´s model of the duality between data fusion and resource management.
Keywords :
sensor fusion; systems engineering; adaptive modeling; data association; duality; information integration; multi-sensor fusion; resource management; system acquisition; system engineering process; technology acquisition; Data engineering; Evolution (biology); Guidelines; Intelligent sensors; Paper technology; Predictive models; Resource management; Sensor systems; State estimation; Systems engineering and theory;
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
DOI :
10.1109/IFIC.2000.862653
