基于5G和车路协同的云端视觉分析对汽车环境感知能力优化的研究  

Research on the Optimization of Automotive Environment Perception Capability Based on Cloud Visual Analysis Based on 5G and Vehicle-Road Coordination

作　　者：柯晔伟 Ke Yewei

机构地区：[1]福建船政交通职业学院汽车学院,福建省福州市350007

出　　处：《时代汽车》2023年第22期4-6,70,共4页Auto Time

摘　　要：智能汽车作为一种智能终端,具备环境感知能力、事态分析能力、情况处理能力和信息分享能力。本文针对智能汽车的环境感知能力优化展开研究,并提出5G和车路协同技术有助于云端视觉分析技术的发展,而云端视觉分析技术的介入对汽车环境感知能力有极大的优化作用,最后通过仿真实验予以验证。As an intelligent terminal,intelligent vehicles have the ability of environment perception,situation analysis,situation processing and information sharing.This paper studies the optimization of the environmental perception ability of intelligent vehicles,and proposes that 5G and vehicle-road coordination technology are conducive to the development of cloud visual analysis technology,and the intervention of cloud visual analysis technology has a great optimization effect on the environmental perception ability of automobiles,and finally verifies it through simulation experiments.

关 键 词：云端视觉分析 环境感知能力 车路协同 智能汽车 通行效率 

分 类 号：G63[文化科学—教育学]