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作 者:彭川 陈姚节[1,2] PENG Chuan;CHEN Yaojie(College of Computer Science and Technology,Wuhan University of Science and Technology,Wuhan 430065;Metallurgical Industry Process National Virtual Simulation Experimental Teaching Center,Wuhan 430065)
机构地区:[1]武汉科技大学计算机科学与技术学院,武汉430065 [2]冶金工业过程国家级虚拟仿真实验教学中心,武汉430065
出 处:《计算机与数字工程》2024年第4期1075-1081,共7页Computer & Digital Engineering
摘 要:船载水炮在打击动态目标时,往往会因水柱飞行的时间长存在打击滞后的现象。论文设计的视觉水炮,通过视觉系统进行67目标检测与识别,对目标进行定位;对定位目标进行跟踪,并设计了丢失预警模块和重检测方法实现了长时间的鲁棒跟踪;对目标轨迹进行预测,通过轨迹曲线斜率特征方程来建立预测数学模型,计算提前量实现了对目标的锁定。在100次轨迹试验中,在目标相对速度5节时,吻合度可以达到92.3%。在应用中,此技术有效地解决了视觉水炮打击运动目标时的滞后现象。When the shipborne water cannon strikes the dynamic target,it often lags behind because of the flying time of the water column.The visual water cannon designed in this paper carries on the target detection and recognition through the vision sys-tem,locates the target,and designs the loss early warning module and the redetection method to realize the robust tracking for a long time.The target trajectory is predicted,and the prediction mathematical model is established through the trajectory curve slope characteristic equation,and the lock of the target is realized by calculating the advance amount.In 100 trajectory tests,when the rel-ative velocity of the target is 5 knots,the coincidence degree can reach 92.3%.In the application,this technology effectively solves the lag phenomenon when the visual water cannon hits the moving target.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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