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SYSTEM AND METHOD OF PROTECTION AGAINST UNMANNED AERIAL VEHICLES IN AIRSPACE SETTLEMENT

机译:空域沉降中无人航空车辆保护的系统和方法

摘要

FIELD: remote devices. ;SUBSTANCE: present invention relates to means of combating unmanned aerial vehicles (UAVs) of a civil type, including in the airspace of a settlement, in particular to decisions on the search and classification of an aircraft with the subsequent identification of UAVs and taking measures to protect against UAVs. The claimed method of protection against unmanned aerial vehicles (UAVs) contains the stages at which: by means of primary detection means, including a lidar, the detection of an aircraft in a controlled area of ​​airspace; determining by means of primary detection means, including lidar, the spatial coordinates of the detected flying object, which are sent to the control and classification means; capture the detected flying object using the recognition means; and classifying the detected flying object based on the analysis of at least one image using the control and classification means. In this case, the specified analysis is performed using a neural network. When defining a flying object as a UAV, measures to protect against UAVs are used with the help of a means of neutralization.;EFFECT: providing an integrated solution for detecting, classifying and countering unmanned aerial vehicles, in particular civilian type UAVs, without damaging them (without disabling the on-board UAV control system). ;18 cl, 7 dwg
机译:字段:远程设备。 ;物质:本发明涉及打击民用类型的无人机(无人机)的装置,包括在沉降的空域中,特别是在随后的无人机识别和采取措施的情况下决定飞机的搜索和分类防止无人机。要求保护的防护方法(无人机)保护方法(无人机)包含阶段:通过主要检测装置,包括LIDAR,在气空间的受控区域中检测飞机;通过主要检测装置确定,包括LIDAR,检测到的飞行物体的空间坐标,其被发送到控制和分类装置;使用识别装置捕获检测到的飞行物体;并基于使用控制和分类装置对至少一个图像的分析来分类检测到的飞物对象。在这种情况下,使用神经网络执行指定的分析。当将飞行物体定义为无人机时,在中和手段的帮助下使用保护免受无人机的措施。;效果:提供用于检测,分类和抵消无人机车辆,特别是平民无人机的集成解决方案,而不会损坏它们(不禁用车载无人机控制系统)。 ; 18 cl,7 dwg

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