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Machine Learning-Based Blockchain Technology for Secure V2X Communication: Open Challenges and Solutions. [PDF]
Gebrezgiher YT +3 more
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Empowering IoV Security: A Novel Secure Cryptographic Algorithm (OpCKEE) for Network Protection in Connected Vehicles. [PDF]
Ebadinezhad S, Nlend Bayemi PF.
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Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning. [PDF]
Gao Z, Liu D, Zheng C.
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Leveraging renewable-energy-electric-vehicle synergies for deep decarbonisation: Technical frontiers, market barriers and policy solutions. [PDF]
Zhang Y +6 more
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The Feasibility of NOMA in C-V2X
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2020Cellular Vehicle-to-everything (V2X) becomes one of the most significant techniques in the 5G standard. It uses the PC5 sidelink interface to enable direct communications between the vehicle and everything, e.g., neighboring vehicles, the infrastructure, and pedestrians.
Zhenhui Situ +3 more
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C-V2X Supported Automated Driving
2019 IEEE International Conference on Communications Workshops (ICC Workshops), 2019Automated driving is expected to improve road safety and traffic efficiency. Host vehicle onboard sensing systems typically sense the environment up to 250 m ahead of the vehicle. Today's LiDARs can see approximately 120 m, and recognition of small objects, such as animals or dropped cargo, however, today reliably drop when range is more than 50m ...
Pyykonen, Pasi +6 more
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Towards C-V2X Enabled Collaborative Autonomous Driving
IEEE Transactions on Vehicular Technology, 2023© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component
Yuankai He +4 more
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