VISION SYSTEMS OF UAVs AND SIMULATION OF OBJECT RECOGNITION IN MATLAB ENVIRONMENT

T. Safarov
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Abstract

In recent years, we are aware of the increase in the production of unmanned aerial vehicles (UAVs), their application in various fields and their future potential. An unmanned aerial vehicle (UAV) is an aircraft without a crew. UAVs can have variable characteristics: they can be remotely piloted or fully automatic. In these articles, we will consider UAVs, which we consider as dynamic objects, to receive the coordinates of ground objects according to their flight modes, to simulate them, to observe them, to draw their images, and to classify the objects in the image according to various characteristics in real time. Among the researches of recent times, the researches related to the detection of moving or stationary objects from real-time images taken from unmanned vehicles are of special importance. Because continuous surveillance cannot be done with old video surveillance systems. Integration with systems that automatically detect and recognize objects is used for continuous monitoring.
无人机视觉系统及MATLAB环境下的目标识别仿真
近年来,我们意识到无人驾驶飞行器(uav)的产量增加,它们在各个领域的应用以及它们未来的潜力。无人驾驶飞行器(UAV)是一种没有机组人员的飞行器。无人机可以具有可变的特性:它们可以遥控或全自动。在这些文章中,我们将考虑将无人机作为动态物体,根据地面物体的飞行模式接收其坐标,对其进行模拟、观察、绘制图像,并根据各种特征实时对图像中的物体进行分类。在近年来的研究中,从无人驾驶车辆实时图像中检测运动或静止物体的研究尤为重要。因为旧的视频监控系统无法实现连续监控。与自动检测和识别对象的系统集成用于连续监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pharmacy World & Science
Pharmacy World & Science 医学-药学
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