探索数字经济驱动下的智能汽车产业协同发展路径

Yueying Wang
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引用次数: 0

摘要

智能汽车作为城市创新和建设的重点,也是数字经济时代发展的核心。本文介绍了在互联网时代,智能汽车广泛运用云计算、信息通信、人工智能和移动互联网技术实现深度预测、信息交互、自动驾驶等功能,提出了整个驾驶系统的参数标定,建立了主驱动系统的数学模型,实现了对行驶速度的精确控制;并给出了一种实验性高速智能车的设计思路。智能汽车不仅仅是汽车本身的技术,更是传统工业经济、数字经济和智能经济的融合。以智能网联汽车为代表的新兴产业是中国经济转型升级的主要途径。本文在了解智能网联汽车技术应用现状和分析数字经济发展趋势的基础上,就如何做好智能汽车产业协调发展提出了明确的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the collaborative development path of intelligent vehicle industry driven by digital economy
As the focus of urban innovation and construction, intelligent vehicle is also the core of the development of digital economy era. This paper introduces that in the Internet era, the intelligent vehicle widely uses cloud computing, information communication, artificial intelligence and mobile Internet technology to realize the depth prediction, information interaction, automatic driving and other functions, proposes the parameter calibration of the whole driving system, establishes the mathematical model of the main drive system to realize the accurate control of the driving speed, and gives the design idea of an experimental high speed intelligent vehicle. Intelligent car is not only the technology of the car itself, but also the integration of traditional industrial economy, digital economy and intelligent economy. The emerging industry represented by intelligent connected vehicle is the main way of China's economic transformation and upgrading. On the basis of understanding the application status of intelligent connected vehicle technology and analyzing the development trend of digital economy, this paper puts forward clear suggestions on how to do a good job in the coordinated development of intelligent vehicle industry.
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