Title :
Data fusion system engineering
Author :
Steinberg, Alan N.
Author_Institution :
Space Dynamics Lab., Utah State Univ., Logan, UT, USA
fDate :
6/1/2001 12:00:00 AM
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 :
economics; project management; sensor fusion; systems engineering; Bowman´s model; Project Correlation Data Fusion Engineering; adaptive data fusion; cost-effective development; multi-sensor fusion; multilevel data fusion; resource management; system engineering process; Biological system modeling; Data engineering; Evolution (biology); Guidelines; Intelligent sensors; Paper technology; Resource management; Sensor systems; State estimation; Systems engineering and theory;
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
