Vision-Language Model-Driven Human-Vehicle Interaction for Autonomous Driving:Status,Challenge,and InnovationOA
Vision-Language Model-Driven Human-Vehicle Interaction for Autonomous Driving:Status,Challenge,and Innovation
Rongfeng Zhao;Aimin Du;Mobing Cai;Zhongpan Zhu;Bin He
Shanghai Research Institute for Intelligent Autonomous Systems,Tongji University,Shanghai 200092,ChinaSchool of Automotive Studies,Tongji University,Shanghai 200092,ChinaTrinity College,University of Oxford,Oxford OX1 3BH,UKCollege of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China,and also with College of Electronic ahd Information Engineering,Tongji University,Shanghai 200092,ChinaShanghai Research Institute for Intelligent Autonomous Systems,Tongji University,Shanghai 200092,China
Human-Vehicle Interaction(HVI)Large Language Model(LLM)Vision-Language large Model(VLM)Autonomous Driving(AD)perception technology
Human-Vehicle Interaction(HVI)Large Language Model(LLM)Vision-Language large Model(VLM)Autonomous Driving(AD)perception technology
《大数据挖掘与分析（英文版）》 2026 (2)
425-447,23
This work was supported by the Shanghai Municipal Science and Technology Major Project(No.2021SHZDZX0100),the National Natural Science Foundation of China(No.62088101),the Fundamental Research Funds for the Central Universities(No.22120220642),and the Opening Project of the State Key Laboratory of Autonomous Intelligent Unmanned Systems(No.ZZKF2025-2-3).
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