摘要
为了实现四旋翼无人机的图像目标识别和自主导航控制,本文基于搭载Linux系统的主控板,结合现有飞控,设计了一种基于Linux的视觉识别四旋翼控制系统。在现有四旋翼无人机遥控方式的基础上,提出了搭建自主控制系统的实现方法,分别从硬件选型和软件环境配置阐述了该系统的设计过程。通过利用机器视觉技术和开源图像函数库,实现了图像目标的识别和追踪。最后通过系统实测论证了方案的可行性。
In order to achieve the image recognition and autonomous navigation control of four rotor UAV, the main control board is equipped with Linux system based on the combination of existing flight control, a Linux control system based on visual identification of four rotor design. Based on existing manual control system of four rotors UAV, an autonomous control system is proposed. The design process of the system is expounded from the configuration of hardware and software environment; realize image target recognition and tracking using machine vision technology and open source image library. Finally the system test result proves the feasibility of the scheme.
作者
钱超超
吕勇
Qian Chaochao Lv Yong(School of Instrumentation Science ＆ Optoelectronic Engineering, Beijing Information Science ＆ Technology University, Beijing 100192, China)
出处
《电子技术（上海）》
2017年第1期47-50,共4页
Electronic Technology
基金
促进高校内涵发展-大学生活科研训练项目-仪器科学与光电工程学院(5111623200)
