计算机视觉在智能交通系统中的设计与应用

摘    要

计算机视觉作为人工智能领域的核心技术之一，在智能交通系统中发挥着越来越重要的作用。随着城市化进程的加速和汽车保有量的不断增加，交通拥堵、事故频发等问题日益凸显，智能交通系统应运而生，旨在通过先进技术手段提升交通管理的智能化水平。计算机视觉技术的应用，为智能交通系统提供了强大的数据获取和分析能力，有效促进了交通管理的优化和升级。本研究深入探讨了计算机视觉在智能交通系统中的设计与应用。首先，分析了智能交通系统对计算机视觉技术的需求，包括车辆检测、行人识别、交通流分析等方面。在此基础上，研究了计算机视觉技术的相关算法和模型，如卷积神经网络、深度学习等，并探讨了如何将这些技术应用于智能交通系统中。在智能交通系统的设计方面，本研究注重系统架构的搭建和功能模块的划分。通过构建高效的数据处理和分析平台，实现了对交通场景的多维度感知和理解。同时，结合实际应用场景，设计了车辆跟踪、交通事件检测、违章行为识别等功能模块，提升了智能交通系统的实用性和有效性。


关键词：计算机视觉  智能交通系统  设计与应用  


Abstract 
As one of the core technologies in the field of artificial intelligence, computer vision is playing an increasingly important role in intelligent transportation systems. With the acceleration of the urbanization process and the continuous increase of car ownership, traffic congestion, frequent accidents and other problems become increasingly prominent, intelligent transportation system came into being, aiming to improve the intelligent level of traffic management through advanced technical means. The application of computer vision technology provides powerful data acquisition and analysis ability for intelligent transportation system, and effectively promotes the optimization and upgrading of traffic management. This paper discusses the design and application of computer vision in intelligent transportation system. Firstly, the demand of computer vision technology for intelligent transportation system is analyzed, including vehicle detection, pedestrian recognition, traffic flow analysis and so on. On this basis, the relevant algorithms and models of computer vision technology, such as convolutional neural network and deep learning, are studied, and how to apply these technologies to intelligent transportation system is discussed. In the design of intelligent transportation system, this study focuses on the construction of system architecture and the division of functional modules. By building an efficient data processing and analysis platform, multi-dimensional perception and understanding of traffic scenes are realized. At the same time, combined with practical application scenarios, functional modules such as vehicle tracking, traffic incident detection, and violation behavior identification are designed to enhance the practicality and effectiveness of the intelligent transportation system.


Keyword:Computer vision  Intelligent transportation system  Design and application 




目    录
1引言 1
2计算机视觉技术基础 1
2.1计算机视觉概念与发展 1
2.2图像处理基础 2
2.3目标检测与跟踪 2
3计算机视觉技术在智能交通系统中的设计 2
3.1系统设计原则 2
3.2数据采集与处理 3
3.3算法选择与优化 3
3.4系统实施与评估 4
4计算机视觉技术在智能交通系统中的应用场景 5
4.1交通监控系统 5
4.2事故预防与响应 5
4.3交通流量控制 6
4.4停车管理 6
5结论 7
参考文献 8
致谢 9