Study On Model For Autonomy Levels Of Unmanned Platforms

Unmanned platforms can be utilized repeatedly to reduce the cost and the casualty rate and improve the mobile performance. Therefore, they have been widely used in many fields of many countries in recent years. However, the autonomy levels of unmanned platforms is the key factor determined the development of unmanned platforms. Unmanned platforms are limited by the current technology level and other constraints, and it is impossible to achieve full autonomy without people’s supervision and control.This paper analyzes the development for autonomy levels of unmanned platforms and discusses some other methods used to evaluate the autonomy levels. Firstly, the classification principle, basis and steps of other methods are further discussed. Then, the development trend of autonomy levels can be speculated by comparing the explanations of autonomy levels of different periods. Finally, two kinds of models are constructed, the indicators of the first model are the software and hardware, and the human interface, situational awareness, environmental and decision-making of the unmanned platforms are determined as four indicators of the second model that applied to evaluate the autonomy levels in this paper.Fuzzy comprehensive evaluation principle is used to quantify the four indicators, and a mathematical model on behalf of the autonomy levels with the operator according to certain logic is constructed.In this paper, the new model has been used to judge the autonomy levels of Global Hawk UAV, Red FlagHQ3 UGV which developed by the National Defense University and Spartan Scout USV of United States. The results show that the four indicators are comprehensive and visualized, and the quantitative method is convenient.