基于无人机侦察与模型仿真的人机协同毁伤评估  

Human-Machine Collaborative Damage Assessment Based on UAV Reconnaissance and Model Simulation

作　　者：牛轶峰[1] 王治超 王菖 刘芳[2] NIU Yi-Feng;WANG Zhi-Chao;WANG Chang;LIU Fang(College of Intelligence Science and Technology,National University of Defense Technology,Changsha Hunan 410073,China;College of Advanced Interdisciplinary Studies,National University of Defense Technology,Changsha Hunan 410073,China)

机构地区：[1]国防科技大学智能科学学院,湖南长沙410073 [2]国防科技大学前沿交叉学科学院,湖南长沙410073

出　　处：《指挥与控制学报》2020年第3期198-208,共11页Journal of Command and Control

基　　金：国家自然科学基金(61876187,61906203)资助。

摘　　要：针对毁伤评估时过度依赖于专家经验或者精确计算的问题,提出支持多种人机协作模式的协同毁伤评估方法.采用协同设计理论分析毁伤评估各环节,设计了基于无人机侦察图像与模型仿真计算的人机协同毁伤评估流程.按照不同的任务场景选择对应的毁伤评估自主等级,并将毁伤评估分解为人机协同的图像变化检测、模型仿真计算、专家判读等相结合的子模块,通过经验权值融合评估结果.最后,在建筑物的毁伤评估任务中验证了该方法的有效性,可提高毁伤评估准确度,降低地面站人员负担.Dealing with the problem that high-quality expert experience or accurate model-based calculation is not always available,a novel human-machine collaborative damage assessment method is proposed that supports multiple levels of collaboration. Based on the coactive design theory, a damage assessment task is decomposed into several subtasks that can be solved throughanalyzing reconnaissance images taken by an UAV orthrough approximate model-based computing. According to the task requirements as well as the capabilities of human and machine, autonomy levelsare selected accordingly. Finally, the results of image change detection, model simulation and expert assessmentare weighted. The effectiveness of the proposed method has been verified in an experiment, which has been proved to improve the assessment accuracy while reducing the workload of the human operator.

关 键 词：毁伤评估 人机协同 自主等级 图像变化检测 模型仿真计算 无人机 

分 类 号：E926[军事—军事装备学]