基于深度学习技术的智能化无人机视觉系统设计研究
摘 要：传统无人机不能够对所获取的数据信息进行智能化处理，导致处理结果不够精准，抑制了相关工作的顺利开展。为了有效解决这类问题，本文以深度学习技术为支持，对智能化无人机视觉系统的设计思路进行探究，通过将深度学习技术中的协同神经网络这一思想应用到无人机的智能化中，能够让无人机的目标识别、飞行控制、智能检测以及障碍规避得到一定程度的改良与优化，从而有效降低其实现难度。
关键词：深度学习技术；智能化无人机；视觉系统设计
中图分类号：TP391 文献标识码：A
文章编码：1672-7053(2020)12-0152-02
Abstract：The traditional UAV can not process the acquired data information intelligently, which results in the inaccurate processing results and the smooth development of related work. In order to effectively solve these problems, this paper takes deep learning technology as the theoretical support to explore the design concept and design ideas of intelligent UAV vision system. By applying the idea of collaborative neural network in deep learning technology to the intelligence of UAV, it can make UAV target recognition, flight control, intelligent detection and obstacle avoidance to a certain extent The degree of improvement and optimization, effectively reducing the difficulty of its implementation.
Key Words：Deep learning technology; intelligent UAV; vision system
