基于双目视觉的无人机低空飞行

Feng Wang
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引用次数: 1

摘要

目前,民用无人机在低空低速状态下存在两个问题,在这种状态下存在两个问题。首先是无人机起降时的安全问题。其二,低空低速无人机的飞行稳定性和目标距离识别。针对上述问题,本文提出了一种基于双目识别原理的方法,利用双目识别图像处理技术构建模糊人工识别距离系统,并对低空复杂环境控制算法进行了改进。实验表明,该方案提高了飞行器低空低速飞行性能,使无人机能够在1米范围内实现2米范围内障碍物无人飞行的定点降落。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV Flight at Low Altitude Based on Binocular Vision
At present, there are two problems in the low-altitude and low-speed state of the civil unmanned aerial vehicle (UAV), and there are two problems in this state. First, there is security when the UAV takes off and landing. Hidden danger, and second, low-altitude low-speed UAV flight stability and object distance recognition. In view of the above problems, this paper presents a method based on the principle of binocular recognition, and uses the binocular recognition image processing technology to construct the fuzzy artificial identification range system, and improves the low altitude complex environment control algorithm. Experiments show that the program to improve the aircraft low-altitude low-speed flight performance, making the UAV can achieve a range of 2 meters obstruction unmanned flight within 1 meter range of fixed-point landing.
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