Autonomy Evaluation of Unmanned Systems Based on Task Models  

作　　者：Yi Zou Zehao Ni Xun Lei Chi Zhang 

机构地区：[1]Key Laboratory of Complex Aviation Simulation System,Beijing,100076,China [2]State Key Laboratory of Multimodal Artificial Intelligence Systems(MAIS),Institute of Automation,Chinese Academy of Sciences(CASIA),Beijing,100190,China [3]Hong Kong Institute of Science&Innovation,Chinese Academy of Sciences(HKISI CAS),Hong Kong,999077,China

出　　处：《Machine Intelligence Research》2024年第5期815-830,共16页机器智能研究（英文版）

基　　金：supported in part by the Major Project for New Generation of AI,China(No.2018AAA0100400);in part by the Natural Science Foundation of China(No.62072457).

摘　　要：In this study,relevant work on autonomy evaluation(AE)in recent years was comprehensively reviewed and classified from the perspective of task models,and a closed-loop task models based theoretical framework for AE was developed.The main contributions of this study are as follows.1)A taxonomy for AE based on task models was introduced to classify current theories,methods and standards.2)The limitations of the current autonomous evaluation methods were addressed to provide a theoretical framework for quantitative evaluation based on task models,and evaluation metrics for each stage were proposed based on the AE theoretical framework.3)Qualitative analyses of the superiority of the proposed AE framework based on the closed-loop task models were conducted.This study attempts to provide a reference for researchers and engineers in the autonomous unmanned systems field and inspire future development of AE.

关 键 词：Unmanned system(UMS) autonomy evaluation task models closed-loop task models kill chain 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]