Autonomous capability evaluation of UAV based on line graph method

This paper proposed a line graph method to visually evaluate the autonomous capability of unmanned aerial vehicles (UAVs). Firstly, the evaluation system of the UAV autonomous capability (UAV-AC) is constructed based on observe orient decide act (OODA) operational command theory. Secondly, the G1 method is proposed to calculate the index weights, which can objectively reflect the importance of each index and the subjective wishes of decision makers. Finally, the line chart method is used to display the autonomous capability of UAV, which provides a scientific and feasible technical means for evaluating the autonomous capability of UAV.

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Published
2024-09-20
DOI
https://doi.org/10.1109/eit63098.2024.10762464
Primary Topic
Advanced Decision-Making Techniques
Type
article
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article

Autonomous capability evaluation of UAV based on line graph method

Wei Xu, Weishi Peng, Le Yan, Ying Li et al.
Advanced Decision-Making Techniques
article

Autonomous capability evaluation of UAV based on line graph method

Wei Xu, Weishi Peng, Le Yan, Ying Li, Rongrong Feng, Haopeng Li, Liang Shi
article en

Abstract

This paper proposed a line graph method to visually evaluate the autonomous capability of unmanned aerial vehicles (UAVs). Firstly, the evaluation system of the UAV autonomous capability (UAV-AC) is constructed based on observe orient decide act (OODA) operational command theory. Secondly, the G1 method is proposed to calculate the index weights, which can objectively reflect the importance of each index and the subjective wishes of decision makers. Finally, the line chart method is used to display the autonomous capability of UAV, which provides a scientific and feasible technical means for evaluating the autonomous capability of UAV.

Chinese People's Armed Police Force Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 60%
Advanced Decision-Making Techniques
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Autonomous capability evaluation of UAV based on line graph method — Wei Xu, Weishi Peng, et al. · (2024) | TGRS Research Map | TGRS