Unmanned system autonomy grade evaluation subject generation method based on complexity analysis

• Main Authors: HU JIANWEI, DU LINLIN, MA QIONGMIN, CHEN WEICHANG, MA JINGJING
• Format: Patent
• Language: Chinese; English
• Published: 03.12.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the field of unmanned system evaluation, in particular to an unmanned system autonomy grade evaluation subject generation method based on complexity analysis. According to the invention, based on the autonomy level of the unmanned system, on the basis of environmental complexity and task complexity level division, through autonomy level evaluation scene setting, evaluation question setting and evaluation scene and evaluation question combination, mapping of autonomy level evaluation subjects and levels of the unmanned system is realized; and completing subject generation of autonomous level evaluation of the unmanned system. The invention provides an unmanned system autonomy grade evaluation subject generation method based on complexity analysis, and mainly solves the problem of lack of subject setting methods and means for unmanned system autonomy grade evaluation. 本发明涉及无人系统评估领域，具体涉及一种基于复杂度分析的无人系统自主性等级评估科目生成方法。本发明以无人系统自主性等级为依据，基于环境复杂度和任务复杂度等级划分，通过自主性等级评估场景设置、评估题目设置、评估场景与评估题目组合，实现无人系统