摘要
车路协同已成为我国发展智能网联汽车、支撑高等级自动驾驶实现的重要技术路线之一,路侧感知系统也随之成为助力各类车联网应用场景落地的必要技术手段。然而,随着国家级、省级等各地先导区基础设施建设的不断推进,路侧感知系统的设备选型难、实施部署难、感知性能难以量化评估等问题逐渐显现。为解决以上问题,梳理了当前车联网路侧感知系统的主流技术方案,提炼面向路侧感知系统的技术参考架构,以"系统化"评测视角开展基于真值的测试方法探索,旨在推动路侧基础设施的规模化部署,加速构建我国车联网产业生态。
Vehicle-Road collaboration has become one of the important technical routes for developing intelligent connected vehicles and supporting high-level automated driving,and roadside sensing system(RSS)also becomes the necessary technical means to promote various Internet of Vehicles(IoVs)application scenarios.However,as the infrastructure deployments in national and provincial pilot areas proceed,many problems gradually appear,such as the difficulties in equipment selection and implementation deployment of RSS,and the difficulty in quantitative evaluation of sensing capability.To tackle these issues,this paper outlines the main technical solutions of state-of-the-art RSS,distills the technical reference framework of RSS,and explores the truth-based testing methods in systematic manner to promote the large-scale deployment of roadside infrastructure and accelerate the IoV industrial ecology.
作者
鲍叙言
余冰雁
王晶
BAO Xuyan;YU Bingyan;WANG Jing(China Academy of Information and Communications Technology,Beijing 100191,China)
出处
《移动通信》
2021年第6期43-47,共5页
Mobile Communications
关键词
车联网
车路协同
路侧感知系统
真值系统
Internet of Vehicles
vehicle-road collaboration
roadside sensing system
truth system
