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A Threat Assessment Method for Unmanned Aerial Vehicle Based on Bayesian Networks under the Condition of Small Data Sets
Joint Authors
Gao, Xiaoguang
Wan, Kaifang
Di, Ruohai
Guo, Zhigao
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-13
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
The autonomous decision-making of a UAV is based on rapid and accurate threat assessment of the target.
Accordingly, modeling of threat assessment under the condition of a small data set is studied in this paper.
First, the operational scenario of a manned/unmanned aerial vehicle is constructed, and feature selection and data preprocessing are performed.
Second, to obtain the structure, a modeling method for threat assessment is proposed based on an improved BIC score.
Finally, the obtained model is applied to compute the threat probability using the junction tree algorithm.
The experimental results show that the method proposed in this paper is an available method for threat assessment under the condition of small data sets.
American Psychological Association (APA)
Di, Ruohai& Gao, Xiaoguang& Guo, Zhigao& Wan, Kaifang. 2018. A Threat Assessment Method for Unmanned Aerial Vehicle Based on Bayesian Networks under the Condition of Small Data Sets. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1209351
Modern Language Association (MLA)
Di, Ruohai…[et al.]. A Threat Assessment Method for Unmanned Aerial Vehicle Based on Bayesian Networks under the Condition of Small Data Sets. Mathematical Problems in Engineering No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1209351
American Medical Association (AMA)
Di, Ruohai& Gao, Xiaoguang& Guo, Zhigao& Wan, Kaifang. A Threat Assessment Method for Unmanned Aerial Vehicle Based on Bayesian Networks under the Condition of Small Data Sets. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1209351
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209351