NDLI: Sensor fusion for swarms of unmanned aerial vehicles using modeling field theory

Content Provider	IEEE Xplore Digital Library
Author	Deming, R.
Copyright Year	2005
Description	Author affiliation: Anteon Corp., Hanscom, MA, USA (Deming, R.)
Abstract	We are developing a technique, based upon modeling field theory, for performing automatic target detection, discrimination, and localization from information measured by a swarm of small unmanned aerial vehicles (UAVs) equipped with visual sensors. Swarms of sensors can facilitate detecting and discriminating low signal-to-clutter targets by allowing correlation between different sensor types and/or different aspect angles. However, for deployment of swarms to be feasible, UAVs must operate more autonomously. The current approach is designed to reduce the load on humans controlling UAVs by providing computerized interpretation of a set of images from multiple sensors. This method yields the bonus feature of estimating precise tracks for UAVs, which may be applicable for automatic collision avoidance. Modeling field theory (MFT) is particularly well suited for this problem because it uses fuzzy dynamic logic to mitigate combinatorial complexity by comparing all models and data simultaneously. Sample results are presented using simulated target signatures and two-dimensional UAV trajectories.
Sponsorship	IEEE Boston Sect
Starting Page	122
Ending Page	127
File Size	1764356
Page Count	6
File Format	PDF
ISBN	078039013X
DOI	10.1109/KIMAS.2005.1427065
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Image sensors Force measurement Humans Object detection Sensor fusion Automatic control Unmanned aerial vehicles Collision avoidance Intelligent sensors
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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