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六旋翼无人机空基智能排爆系统设计与实现 被引量:4

Design and Implementation of Air-Based Intelligent EODSystem Based on Six-Rotor UAV
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摘要 近年来随着无人机技术的快速发展,各种“无人机+”代替人工作业的成功案例更是层出不穷。所设计的空基智能排爆系统是融合了无人机自主导航、深度学习和YOLOv5目标检测等技术,并将排爆执行机构、双光一体云台吊舱和实时图像传输等硬件装置相结合形成的系统。实验结果表明,该系统具有视觉搜寻范围广、目标识别精度高、可操作性强、排爆行动迅速等优点。在实际操作过程中,操作人员控制该系统抓取、转移和销毁未爆弹,人员作业位置远离未爆弹杀伤的有效半径,解决了未爆弹(UXO)拆除过程中潜在的伤亡问题。 In recent years,with the rapid development of UAV technology,various successful cases of“UAV+”replacing manual work emerge one after another.The air-based intelligent EOD system designed integrates technologies such as UAV autonomous navigation,deep learning and YOLOv5 target detection,which combines hardware devices such as EOD actuators,dual-light integrated pan-tilt pods,and real-time image transmission systems.Experimental results show that the system has the advantages of wide visual search range,high target recognition accuracy,strong operability,and rapid EOD action.In the actual operation process,the operator controls the system to grab,transfer and destroy the unexploded bomb,and the work position of personnel is far away from effective radius of the unexploded bomb killing,which solves potential casualty problem during the Unexploded Explosive Ordnance(UXO)removal process.
作者 曾俊 卢瑞涛 杨小冈 王思宇 范继伟 李清格 ZENG Jun;LU Ruitao;YANG Xiaogang;WANG Siyu;FAN Jiwei;LI Qingge(College of Missile Engineering,Rocket Force University of Engineering,Xi'an 710000,China;Science and Technology on Electro-optic Control Laboratory,Luoyang 471000,China)
出处 《电光与控制》 CSCD 北大核心 2023年第5期61-65,共5页 Electronics Optics & Control
基金 国家自然科学基金(61806209) 航空科学基金(201851U8012) 陕西省自然科学基金(2020JQ-490)。
关键词 无人机 排爆执行机构 深度学习 未爆弹 YOLOv5 unmanned aerial vehicle EOD actuator deep learning UXO YOLOv5
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