摘要
随着城市化进程的加快和机动车数量的迅速增长,城市交通压力日益加重,停车难问题逐渐成为人们日常出行中的普遍困扰。传统人工泊车方式在复杂环境下存在操作不便、效率低下和安全隐患等问题,已难以满足现代驾驶需求。智能驾驶技术的兴起为解决这一问题提供了全新的思路,其中自动泊车系统因其实用性和发展潜力备受关注。计算机视觉作为人工智能技术的重要组成部分,具备较强的环境感知和识别能力,在实现高精度泊车控制方面显示出独特优势。因此,文章对基于计算机视觉的汽车自动泊车系统展开探讨,旨在为智能交通的发展和城市停车问题的缓解提供技术支持。
With the acceleration of urbanization and the rapid increase in the number of motor vehicles,urban traffic pressure is becoming increasingly severe,and the difficulty of finding parking spaces has gradually become a common concern for daily travel.Traditional manual parking methods,which are inconvenient to operate,inefficient,and pose safety risks in complex environments,can no longer meet modern driving needs.The rise of intelligent driving technology offers new solutions to this problem,with automatic parking systems gaining significant attention due to their practicality and potential for development.As an essential component of artificial intelligence,computer vision possesses strong environmental perception and recognition capabilities,demonstrating unique advantages in achieving high-precision parking control.Therefore,this paper explores an automotive automatic parking system based on computer vision,aiming to provide technical support for the development of smart transportation and the alleviation of urban parking issues.
作者
刘红亮
Liu Hongliang(Luoyang Vocational College of Culture and Tourism,School of Education,Luoyang 471000,China)
出处
《汽车电器》
2025年第8期65-67,共3页
Auto Electric Parts
关键词
计算机视觉
自动泊车系统
图像处理
路径规划
computer vision
automatic parking system
image processing
path planning
