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作 者:Wenbo Chu Qiqige Wuniri Xiaoping Du Qiuchi Xiong Tai Huang Keqiang Li
机构地区:[1]National Innovation Center of Intelligent and Connected Vehicles,Beijing 100176,China [2]School of Software,Beihang University,Beijing 100083,China [3]State Key Laboratory of Automotive Safety&Energy,School of Vehicle and Mobility,Tsinghua University,Beijing 100084,China
出 处:《Chinese Journal of Mechanical Engineering》2021年第5期3-25,共23页中国机械工程学报(英文版)
基 金:Supported by Beijing Nova Program of Science and Technology(Grant No.Z191100001119087);Beijing Municipal Science&Technology Commission(Grant No.Z181100004618005 and Grant No.Z18111000460000)。
摘 要:The electrification of vehicle helps to improve its operation efficiency and safety.Due to fast development of network,sensors,as well as computing technology,it becomes realizable to have vehicles driving autonomously.To achieve autonomous driving,several steps,including environment perception,path-planning,and dynamic control,need to be done.However,vehicles equipped with on-board sensors still have limitations in acquiring necessary environmental data for optimal driving decisions.Intelligent and connected vehicles(ICV)cloud control system(CCS)has been introduced as a new concept as it is a potentially synthetic solution for high level automated driving to improve safety and optimize traffic flow in intelligent transportation.This paper systematically investigated the concept of cloud control system from cloud related applications on ICVs,and cloud control system architecture design,as well as its core technologies development.Based on the analysis,the challenges and suggestions on cloud control system development have been addressed.
关 键 词:Intelligent and connected vehicles Cloud control system Cloud control base platform Cloud controlled and automated driving
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