Human-Machine Collaborative Damage Assessment Based on UAV Reconnaissance and Model Simulation
NIU Yi-Feng1 WANG Zhi-Chao1 WANG Chang1 LIU Fang2
1． College of Intelligence Science and Technology, National University of Defense Technology, Changsha Hunan 410073, China 2． College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha Hunan 410073, China
Abstract：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.
牛轶峰, 王治超, 王菖, 刘芳. 基于无人机侦察与模型仿真的人机协同毁伤评估[J]. 指挥与控制学报, 2020, 6(3): 198-208.
NIU Yi-Feng, WANG Zhi-Chao, WANG Chang, LIU Fang. Human-Machine Collaborative Damage Assessment Based on UAV Reconnaissance and Model Simulation. Journal of Command and Control, 2020, 6(3): 198-208.
2020, Vol. 6 
