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RI | Publications | Uncertain Information Fusion for Force Aggregation and Classification in Airborne Sensor Networks
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Uncertain Information Fusion for Force Aggregation and Classification in Airborne Sensor Networks
B. Yu, K. Sycara, J.A. Giampapa, and S.R. Owens
AAAI-04 Workshop on Sensor Networks, AAAI Press, July, 2004.
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| Abstract |
The paper describes airborne sensor networks for target tracking and identification in military applications. The raw information about targets from airborne sensors is uncertain and often noisy. One challenge in airborne sensor networks is how to effectively fuse enormous amounts of uncertain and noisy information for better battlefield situation assessment. In this paper we present a novel approach to military force aggregation and classification using Dempster-Shafer theory and doctrinal templates. Our approach helps commanders understand operational pictures of the battlefield, e.g., enemy force levels and deployment, and make better decisions than adversaries in the battlefield. A sample application of our approach is illustrated in the simulated testbed OTBSAF and RETSINA system.
| Notes |
Sponsor: Air Force Office of Scientific Research
Grant ID: F49620-01-1-0542
Associated center: CIMDS
Associated lab/group: Intelligent Software Agents
Associated projects: Reusable Environment for Task Structured Intelligent Network Agents and AFOSR PRET: Information Fusion for Command and Control: The Translation of Raw Data To Actionable Knowledge and Decision
Number of pages: 8
| Text Reference |
B. Yu, K. Sycara, J.A. Giampapa, and S.R. Owens, "Uncertain Information Fusion for Force Aggregation and Classification in Airborne Sensor Networks," AAAI-04 Workshop on Sensor Networks, AAAI Press, July, 2004.
| BibTeX Reference |
@inproceedings{Yu_2004_4677,
author = "Bin Yu and Katia Sycara and Joseph Andrew Giampapa and Sean R Owens",
title = "Uncertain Information Fusion for Force Aggregation and Classification in Airborne Sensor Networks",
booktitle = "AAAI-04 Workshop on Sensor Networks",
month = "July",
year = "2004",
publisher = "AAAI Press"
}