With the rapid development of Internet of Vehicles(IoV)technologies,the automotive industry is undergoing a profound transformation from traditional mechanical systems to intelligent and connected systems.By integrati...With the rapid development of Internet of Vehicles(IoV)technologies,the automotive industry is undergoing a profound transformation from traditional mechanical systems to intelligent and connected systems.By integrating technologies such as 5G communi cation,V2X,edge computing,and artificial intelligence,the IoV has established an intelligent transportation system characterized by vehicle-road-cloud-terminal collaboration.Focusing on the two core topics of automotive safety and user experience in t he IoV era,this paper systematically reviews the security challenges and pathways for optimizing user experience,while also exploring future trends in their coordinated development.The study finds that IoV technologies offer significant advantages in en hancing traffic safety,improving traffic flow,and reducing energy consumption.However,they also face risks such as cybersecurity threats,data privacy breaches,and system reliability issues.Measures such as optimizing smart cockpi t interaction and ex panding full-scenario service ecosystems can effectively enhance both automotive safety and user experience.In the future,as technology continues to advance and supportive policies are further implemented,IoV technologies will driv e the automotive indus try toward a safer,smarter,and more efficient direction.展开更多
Driven by the rapid growth in information services provided by the Internet and the appearance of new multimedia applications,millimeter wave is foreseen as a key enabler towards the Internet of intelligent vehicles(I...Driven by the rapid growth in information services provided by the Internet and the appearance of new multimedia applications,millimeter wave is foreseen as a key enabler towards the Internet of intelligent vehicles(IoIV)for urban traffic safety enhancement.In this regard,cluster-based channel modeling has become an important research topic in the realm of emergency communications.To fully understand the cluster-based channel model,a series of vehicle-to-infrastructure(V2I)channel simulations at 22.6 GHz are conducted by a three-dimensional ray tracing(RT)simulator.The clustering and tracking algorithm is proposed and analyzed from three aspects by the obtained simulation results.The multiple signal classification estimation spectrum is applied to restrain the influence of antenna sidelobes and identify targets at first.Based on the fundamentals,the clusters can be identified and subsequently tracked using the proposed approach.The impacts of antenna sidelobes,angle resolution of beam rotation,and non-line-of-sight propagation path on the performance of clustering and tracking are evaluated.The multi-component-level RT results are adopted as comparison benchmarks,which reflect the ground truth.This work aims to provide a full picture of the clustering characteristics for designing and analyzing emergency communication systems.展开更多
文摘With the rapid development of Internet of Vehicles(IoV)technologies,the automotive industry is undergoing a profound transformation from traditional mechanical systems to intelligent and connected systems.By integrating technologies such as 5G communi cation,V2X,edge computing,and artificial intelligence,the IoV has established an intelligent transportation system characterized by vehicle-road-cloud-terminal collaboration.Focusing on the two core topics of automotive safety and user experience in t he IoV era,this paper systematically reviews the security challenges and pathways for optimizing user experience,while also exploring future trends in their coordinated development.The study finds that IoV technologies offer significant advantages in en hancing traffic safety,improving traffic flow,and reducing energy consumption.However,they also face risks such as cybersecurity threats,data privacy breaches,and system reliability issues.Measures such as optimizing smart cockpi t interaction and ex panding full-scenario service ecosystems can effectively enhance both automotive safety and user experience.In the future,as technology continues to advance and supportive policies are further implemented,IoV technologies will driv e the automotive indus try toward a safer,smarter,and more efficient direction.
基金This work was supported in part by Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(No.2018-0-00792,QoE improvement of open Wi-Fi on public transportation for the reduction of communication expense)in part by IITP grant funded by the Korea government(MSIT)(No.2018-0-001755G Agile and flexible integration of satellite and cellular).
文摘Driven by the rapid growth in information services provided by the Internet and the appearance of new multimedia applications,millimeter wave is foreseen as a key enabler towards the Internet of intelligent vehicles(IoIV)for urban traffic safety enhancement.In this regard,cluster-based channel modeling has become an important research topic in the realm of emergency communications.To fully understand the cluster-based channel model,a series of vehicle-to-infrastructure(V2I)channel simulations at 22.6 GHz are conducted by a three-dimensional ray tracing(RT)simulator.The clustering and tracking algorithm is proposed and analyzed from three aspects by the obtained simulation results.The multiple signal classification estimation spectrum is applied to restrain the influence of antenna sidelobes and identify targets at first.Based on the fundamentals,the clusters can be identified and subsequently tracked using the proposed approach.The impacts of antenna sidelobes,angle resolution of beam rotation,and non-line-of-sight propagation path on the performance of clustering and tracking are evaluated.The multi-component-level RT results are adopted as comparison benchmarks,which reflect the ground truth.This work aims to provide a full picture of the clustering characteristics for designing and analyzing emergency communication systems.
