基于深度学习技术的智能化无人机视觉系统设计  

Design of Intelligent Unmanned Aerial Vehicle Vision System Based on Deep Learning Technology

作　　者：吕永华[1] LYU Yonghua(Huai'an Senior Vocational&Technical School,Huai'an Jiangsu 223005,China)

机构地区：[1]淮安市高级职业技术学校,江苏淮安223005

出　　处：《信息与电脑》2023年第24期1-3,共3页Information & Computer

摘　　要：传统无人机无法实现数据信息的智能化处理,处理结果不精准,给工作的顺利开展造成了影响。为了解决此问题,文章基于深度学习技术研究智能化无人机视觉系统的设计思路。将深度学习技术应用在无人机智能化中的协同神经网络思想,能够优化无人机的飞行控制、目标识别、障碍规避、智能监测等,降低实现难度。The traditional unmanned aerial vehicle can not realize the intelligent processing of data information,which makes the processing result imprecise and affects the smooth development of the work.In order to solve this problem,we should take the deep learning technology as the technology to study the design idea of intelligent unmanned aerial vehicle vision system.The idea of cooperative neural network,which applies deep learning technology to unmanned aerial vehicle intelligence,can optimize unmanned aerial vehicle flight control,target recognition,obstacle avoidance,intelligent monitoring,etc.

关 键 词：深度学习技术 无人机视觉 智能化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]