试析智能驾驶汽车机器视觉关键技术  

Analysis of the Key Technologies of Machine Vision for Intelligent Autonomous Vehicles

作　　者：姚飞[1] 张禹 Yao Fei;Zhang Yu(The 58th Research Institute of China Electronics Technology Group Corporation,Wuxi,Jiangsu,214035)

机构地区：[1]中国电子科技集团公司第五十八研究所,江苏无锡214035

出　　处：《仪器仪表用户》2024年第7期98-100,共3页Instrumentation

摘　　要：随着智能驾驶技术的飞速发展,机器视觉作为其核心组成部分,正日益成为研究的热点。本文首先概述了机器视觉技术的基本原理和应用领域,进而深入探讨了智能驾驶汽车中机器视觉的关键技术,包括图像采集、图像处理以及基于深度学习的图像分析技术,详细阐述了相关技术在车道线检测等实际应用中的具体实现方法和优化策略,旨在为智能驾驶汽车机器视觉技术的发展提供理论支持和实践指导。With the rapid development of intelligent driving technology,machine vision,as its core component,is increasingly becoming a research hotspot.This article first outlines the basic principles and application areas of machine vision technology,and then delves into the key technologies of machine vision in intelligent driving vehicles,including image acquisition,image processing,and deep learning based image analysis technology.It elaborates on the specific implementation methods and optimization strategies of related technologies in practical applications such as lane line detection,aiming to provide theoretical support and practical guidance for the development of machine vision technology in intelligent driving vehicles.

关 键 词：智能驾驶 汽车 机器视觉 图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]