基于车-基建协同智能驾驶的路边传感器网络部署

Xin An , Baigen Cai
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引用次数: 0

摘要

智能道路传感器网络由摄像头、激光雷达、毫米波雷达和气象站等设备组成,是路边数字基础设施的重要组成部分。构建智能公路传感器网络的主要挑战之一是在高速公路上部署多模态传感器,创建一个可控、可管理和可用的传感器网络。该网络不仅可以促进全局和场景感知,还可以实现协同感知和控制功能。因此,本研究旨在界定车-基础设施协同智能驾驶(VICID)的概念、主要特征和技术内涵。概述了智能道路云原生云控制平台的发展,细化了技术要求和指标。该平台旨在支持创新应用的开放服务,例如解决瓶颈、管理道路工程区域以及实现自动驾驶的动态车道分配。最后,介绍了北京市高速公路的试点情况,为中国智能道路传感器网络设备的设计和建设以及关键技术的研发提供了指导和参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Roadside sensor network deployment based on vehicle-infrastructure cooperative intelligent driving

The sensor network for intelligent roadways, comprised of devices like cameras, laser radars, millimeter-wave radars, and weather stations, is an integral part of the roadside digital infrastructure. One of the main challenges in building intelligent highway sensor networks is to create a controllable, manageable, and useable sensor network with multi-modal sensors deployed on highways. This network should not only facilitate global and scene sensing but also enable collaborative sensing and control functions. Therefore, this study aims to define the concept, main features, and technical connotation of Vehicle-Infrastructure Cooperative Intelligent Driving (VICID). It also outlines the development of a cloud-native cloud control platform for intelligent roadways and refines the technology requirements and indices. This platform is designed to support open services for innovative applications, such as addressing bottlenecks, managing roadworks zones, and implementing dynamic lane assignments for automated driving. Lastly, we introduce Beijing's highway pilot projects, which can serve as a guide and reference for designing and constructing sensor network equipment for intelligent roadways in China, as well as for key technology research and development.

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