智能机载无人机系统:利用计算机视觉系统寻找活动和静止目标

P. Kakvand, M. Jaberzadeh, Mohamed Madadpour Inallou, Y. Alborz
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引用次数: 1

摘要

本文概述了无人飞行器(UAV)的设计和制造,完全消除了需要单独的地面站进行数据(旋转和直线运动参数测量的输出数据和图像数据)处理的要求,并且所有的飞行机器人操作从起飞到结束的过程中自动确定到目标的距离以获得坐标(当前位置)。计算与目标的距离,并通过机载进程进行追踪。这样一来,除了减少数据传输过程中的错误外,成本也会降低。PID控制器的设计结合了两个阶段的反馈,飞行控制器(IMU模块输出数据和螺旋运动的编程算法,以及通过计数发送和接收的无线电脉冲来计算距离的算法)和视频数据处理,与其他类似的智能系统相比,可以减少所处理项目的性能误差。
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Smart on-board UAV system: Using computer vision system to find a movable and stationary target
This paper outlines the design and manufacture of Unmanned Aircraft Vehicle (UAV) that the require to a separate ground station for data (output data of parameter measurement in rotational and linear motion and image data) processing is completely removed, and all the flying robot operations became autonomously from take-off to the end of the progress to determine the distance towards the objects for obtaining coordinates (current location), calculates the distance from the object and pursues it by on-board process. Played as a result, in addition to reducing errors in data transmission process, the cost will be reduced. A PID controller designed the combined use of feedback in two phases, Flight Controller (IMU module output data and programmed algorithms for spiral movement and distance calculation algorithm by the means of counting sent and received radio pulses) and video data processing, may reduce performance errors in the addressed projects in comparison to other similar smart systems.
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